Update 2026-04-22 15:37:55
This commit is contained in:
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e9fb18eea1
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78a5b0b408
@ -84,6 +84,15 @@ def add_to_history(user_msg: str, assistant_msg: str):
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def call_llava(prompt: str, img_b64, num_predict: int = 200, use_history: bool = False) -> str:
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def call_llava(prompt: str, img_b64, num_predict: int = 200, use_history: bool = False) -> str:
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"""
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Single synchronous VLM call — same mechanism as Marcus_v1's _call_llava.
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With YOLO on CPU (config_Vision.json::yolo_device="cpu"), there is no
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iGPU contention to guard against, so the v1-style plain call is the
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right shape. num_batch and num_ctx are still passed per-request because
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Ollama's compute-graph pre-allocation pays attention to them (default
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batch=512/ctx=4096 would OOM on the Jetson).
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"""
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if not VLM_ENABLED:
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if not VLM_ENABLED:
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return "" # safe-mode — caller must handle empty string
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return "" # safe-mode — caller must handle empty string
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messages = []
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messages = []
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@ -93,23 +102,6 @@ def call_llava(prompt: str, img_b64, num_predict: int = 200, use_history: bool =
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if img_b64:
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if img_b64:
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msg["images"] = [img_b64]
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msg["images"] = [img_b64]
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messages.append(msg)
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messages.append(msg)
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# When an image is attached, pause YOLO to free iGPU memory for the
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# vision-encoder activations (~1.5 GiB). Without this, concurrent YOLO
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# inference + Qwen vision-encode exceeds the 15 GiB Jetson iGPU budget
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# and the llama runner is reaped by the OOM killer (status code: 500).
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# Text-only calls skip the pause — they fit easily and YOLO stays hot.
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_paused = False
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if img_b64:
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try:
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from API.yolo_api import yolo_pause, yolo_resume, YOLO_AVAILABLE
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if YOLO_AVAILABLE:
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yolo_pause()
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_paused = True
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except Exception:
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pass
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try:
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r = _client.chat(model=OLLAMA_MODEL, messages=messages,
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r = _client.chat(model=OLLAMA_MODEL, messages=messages,
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options={
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options={
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"temperature": 0.0,
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"temperature": 0.0,
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@ -118,13 +110,6 @@ def call_llava(prompt: str, img_b64, num_predict: int = 200, use_history: bool =
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"num_ctx": NUM_CTX,
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"num_ctx": NUM_CTX,
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})
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})
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return r["message"]["content"].strip()
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return r["message"]["content"].strip()
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finally:
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if _paused:
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try:
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from API.yolo_api import yolo_resume
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yolo_resume()
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except Exception:
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pass
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def parse_json(raw: str):
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def parse_json(raw: str):
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@ -197,13 +182,21 @@ def ask_goal(goal: str, img_b64) -> dict:
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def ask_talk(command: str, img_b64, facts: str = "") -> dict:
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def ask_talk(command: str, img_b64, facts: str = "") -> dict:
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"""Handle talk-only commands using the YAML talk_prompt."""
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"""
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Handle talk-only commands using the YAML talk_prompt.
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NOTE: use_history is off. Accumulated turns push the prompt past
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qwen2.5vl's 2048-token KV cache; Ollama then truncates and tries to
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RoPE-shift the cache, which triggers an Ollama/ggml bug
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(GGML_ASSERT(a->ne[2] * 4 == b->ne[0]) — runner SIGABRTs with status
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500. Keeping each call stateless avoids the ceiling entirely.
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"""
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if not VLM_ENABLED:
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if not VLM_ENABLED:
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return dict(_VLM_OFF_EMPTY)
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return dict(_VLM_OFF_EMPTY)
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try:
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try:
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prompt = TALK_PROMPT.format(command=command, facts=facts)
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prompt = TALK_PROMPT.format(command=command, facts=facts)
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raw = call_llava(prompt, img_b64, num_predict=_cfg["num_predict_talk"],
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raw = call_llava(prompt, img_b64, num_predict=_cfg["num_predict_talk"],
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use_history=True)
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use_history=False)
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print(f" Raw: {raw}")
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print(f" Raw: {raw}")
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d = parse_json(raw)
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d = parse_json(raw)
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if d is None:
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if d is None:
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@ -18,7 +18,7 @@ if PROJECT_DIR not in sys.path:
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sys.path.insert(0, PROJECT_DIR)
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sys.path.insert(0, PROJECT_DIR)
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from API.zmq_api import init_zmq, send_vel, gradual_stop, send_cmd
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from API.zmq_api import init_zmq, send_vel, gradual_stop, send_cmd
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from API.camera_api import start_camera, stop_camera, get_frame, get_fresh_frame
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from API.camera_api import start_camera, stop_camera, get_frame
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from API.yolo_api import (
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from API.yolo_api import (
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init_yolo, yolo_summary, yolo_fps,
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init_yolo, yolo_summary, yolo_fps,
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yolo_all_classes, yolo_closest, yolo_sees,
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yolo_all_classes, yolo_closest, yolo_sees,
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@ -155,19 +155,28 @@ def init_brain():
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_log("Brain initialized", "info", "brain")
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_log("Brain initialized", "info", "brain")
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# Report VLM config only — no warmup thread. This matches Marcus_v1's
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# Synchronous warmup — same shape as Marcus_v1's marcus_llava.py. The
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# concept: the first real VLM command performs the cold-load synchronously
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# Python process blocks here for ~60-90 s on the first run so the first
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# inside ollama.chat(), which takes ~60-90 s once on the Jetson and is
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# real user command doesn't pay the cold-load. One attempt, no retry, no
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# fast for every subsequent call. A background warmup thread races with
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# thread. By the time the dashboard prints, Qwen is resident in iGPU.
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# YOLO/camera/audio/Holosoma startup and with user input, and on a
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from API.llava_api import VLM_ENABLED, OLLAMA_HOST, _client as _llava_client
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# 16 GB unified-memory board that race is what triggers the OOM killer.
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from API.llava_api import VLM_ENABLED, OLLAMA_HOST
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if not VLM_ENABLED:
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if not VLM_ENABLED:
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print(" [VLM] disabled by config — safe mode (no Ollama load)")
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print(" [VLM] disabled by config — safe mode (no Ollama load)")
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else:
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else:
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host_short = OLLAMA_HOST.replace("http://", "")
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host_short = OLLAMA_HOST.replace("http://", "")
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print(f" [VLM] target: {host_short} ({OLLAMA_MODEL}) "
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print(f" [VLM] target: {host_short} ({OLLAMA_MODEL})")
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f"— first vision command will cold-load (~60-90 s)")
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print(" [VLM] Warming up... (loading into iGPU — may take 60-90 s on cold start)")
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try:
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_llava_client.chat(
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model=OLLAMA_MODEL,
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messages=[{"role": "user", "content": "hi"}],
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options={"temperature": 0.0, "num_predict": 5,
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"num_batch": _cfg.get("num_batch", 16),
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"num_ctx": _cfg.get("num_ctx", 1024)},
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)
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print(" [VLM] warm — first command will be fast")
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except Exception as _e:
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print(f" [VLM] warmup failed ({_e}) — first command may cold-load")
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# Global voice references
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# Global voice references
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@ -361,7 +370,7 @@ def _handle_search(cmd):
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def _handle_talk(cmd):
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def _handle_talk(cmd):
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print("Thinking...")
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print("Thinking...")
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try:
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try:
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img = get_fresh_frame()
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img = get_frame()
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facts_str = ""
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facts_str = ""
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try:
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try:
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from API.llava_api import _facts
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from API.llava_api import _facts
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@ -382,10 +391,7 @@ def _handle_talk(cmd):
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def _handle_llava(cmd):
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def _handle_llava(cmd):
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print("Thinking...")
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print("Thinking...")
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t0 = time.time()
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t0 = time.time()
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# get_fresh_frame() blocks up to 1 s waiting for a frame newer than
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img = get_frame()
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# 300 ms old. Prevents "identical answer to previous query" when the
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# camera buffer hasn't rotated since the last TTS/executor cycle.
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img = get_fresh_frame()
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# Poll up to 500 ms in 50 ms slices instead of blocking a full second.
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# Poll up to 500 ms in 50 ms slices instead of blocking a full second.
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# Returns the moment a frame is available — most drops recover in <100 ms.
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# Returns the moment a frame is available — most drops recover in <100 ms.
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@ -2,7 +2,7 @@
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"ollama_model": "qwen2.5vl:3b",
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"ollama_model": "qwen2.5vl:3b",
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"ollama_host": "http://127.0.0.1:11434",
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"ollama_host": "http://127.0.0.1:11434",
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"max_history": 6,
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"max_history": 6,
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"num_batch": 32,
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"num_batch": 16,
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"num_ctx": 1024,
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"num_ctx": 1024,
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"subsystems": {
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"subsystems": {
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"vlm": true,
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"vlm": true,
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@ -12,9 +12,9 @@
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"imgsearch": false,
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"imgsearch": false,
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"autonomous": true
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"autonomous": true
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},
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},
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"num_predict_main": 50,
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"num_predict_main": 60,
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"num_predict_goal": 40,
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"num_predict_goal": 80,
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"num_predict_patrol": 50,
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"num_predict_patrol": 80,
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"num_predict_talk": 50,
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"num_predict_talk": 60,
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"num_predict_verify": 10
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"num_predict_verify": 10
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}
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}
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@ -1,519 +1,130 @@
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# marcus_prompts.yaml — Marcus AI Prompts
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# marcus_prompts.yaml — Marcus AI Prompts (compact, 2048-ctx-safe)
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# =========================================
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# Project : Marcus | YS Lootah Technology
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# Hardware : Unitree G1 EDU + Jetson Orin NX
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# Hardware : Unitree G1 EDU + Jetson Orin NX
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# Model : Qwen2.5-VL 3B (Ollama, fully offline)
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# Model : Qwen2.5-VL 3B (Ollama)
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#
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#
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# Placeholders:
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# Placeholder convention: fields surrounded by <...> are instructions, NOT
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# {command} — the user's typed/spoken command (English)
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# text to be copied. Qwen2.5-VL will copy quoted example strings verbatim
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# {goal} — the navigation goal description
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# if they look like valid answers, so we keep example values abstract.
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# {facts} — known facts from memory (e.g. "Kassam is the programmer")
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# {target} — YOLO class being searched (e.g. "person")
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# {condition} — extra condition for verify prompt (e.g. "holding a phone")
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# {hint} — text description for image search
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# {hint_line} — formatted hint line for image search compare
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#
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# LANGUAGE NOTE:
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# All prompts instruct Qwen to detect the command language automatically
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# and respond in the same language. No code-side language detection needed.
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# English-only by policy — Arabic support was removed 2026-04-21.
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# =============================================================================
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# ══════════════════════════════════════════════════════════════════════════════
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# MAIN PROMPT
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# Used for: all standard commands (movement, arms, vision, questions)
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# ══════════════════════════════════════════════════════════════════════════════
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# ── MAIN PROMPT ──────────────────────────────────────────────────────────────
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main_prompt: |
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main_prompt: |
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You are Sanad — an advanced humanoid robot assistant built by YS Lootah Technology, Dubai.
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You are Sanad, a humanoid robot (YS Lootah Technology). You have a camera,
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You are physically present in the room. You have a body, arms, and a camera.
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two arms, and can move. Respond to commands with ONE JSON object only — no
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You follow commands from your operator and respond intelligently.
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text before or after the JSON, no markdown.
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{facts}
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── YOUR CAPABILITIES ──────────────────────────────────────────────────────
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Movement : forward · backward · left (rotate) · right (rotate)
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Arms : wave · raise_right · raise_left · clap · high_five · hug · heart · shake_hand · face_wave
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Vision : you can see through your camera right now
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Speech : you respond in one clear sentence
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── COMMAND ────────────────────────────────────────────────────────────────
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"{command}"
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── OUTPUT FORMAT ──────────────────────────────────────────────────────────
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Reply with ONLY this JSON — no markdown, no extra text, no explanation:
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{{"actions":[{{"move":"forward|backward|left|right|stop","duration":2.0}}],"arm":null,"speak":"one sentence","abort":null}}
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── MOVEMENT RULES ─────────────────────────────────────────────────────────
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- actions: ordered list of movement steps executed in sequence
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- move: "forward" "backward" "left" "right" "stop" — exactly these values
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- duration: seconds per step, max 5.0s (chain steps for longer movements)
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- Merge consecutive same-direction steps into one:
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"forward 2s + forward 2s" → "forward 4s" — NOT two separate steps
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- Duration reference:
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"1 step" = 1.0s
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"tiny step" = 0.3s
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"half a step" = 0.5s
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"2 steps" = 2.0s
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"3 steps" = 3.0s
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"45 degrees" = 2.5s
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"90 degrees" = 5.0s
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"180 degrees" = 10.0s
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- Speed modifiers:
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"slowly" → multiply duration by 0.5
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"quickly" / "fast" → multiply duration by 1.5 (cap at 5.0s)
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── ARM RULES ──────────────────────────────────────────────────────────────
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- arm: one value from the list above, or null
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- arm runs AFTER all movement steps complete — never inside actions list
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- One arm action per command maximum
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- arm = null when no gesture is needed
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── SPEAK RULES ────────────────────────────────────────────────────────────
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- speak: one sentence, first person, natural
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- Describe what you are doing OR what you see — never both in one sentence
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- For pure movement: "Turning right"
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- For vision questions: describe what the camera shows
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- Never repeat the command word-for-word
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- Always respond in English
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── SAFETY RULES ───────────────────────────────────────────────────────────
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- abort = null for all normal commands
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- abort = "obstacle detected" if camera shows obstacle closer than 0.5m
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- abort = "unsafe command" if the command could damage the robot or people
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- abort = "cannot comply" if physically impossible
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- When aborting: actions = [] and explain in speak
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── CONTEXT RULES ──────────────────────────────────────────────────────────
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- "that person" / "him" / "her" → resolve from conversation or camera
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- "it" / "there" → resolve from last command context
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- If ambiguous → choose the most reasonable safe interpretation
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══ ENGLISH EXAMPLES ═══════════════════════════════════════════════════════
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Basic movement:
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"turn right"
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→ {{"actions":[{{"move":"right","duration":2.0}}],"arm":null,"speak":"Turning right","abort":null}}
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"turn left 90 degrees"
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→ {{"actions":[{{"move":"left","duration":5.0}}],"arm":null,"speak":"Turning 90 degrees left","abort":null}}
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"turn right 45 degrees slowly"
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→ {{"actions":[{{"move":"right","duration":1.25}}],"arm":null,"speak":"Turning right slowly","abort":null}}
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"walk forward 3 steps"
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→ {{"actions":[{{"move":"forward","duration":3.0}}],"arm":null,"speak":"Walking forward 3 steps","abort":null}}
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"spin around"
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→ {{"actions":[{{"move":"right","duration":10.0}}],"arm":null,"speak":"Spinning around","abort":null}}
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"stop"
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→ {{"actions":[{{"move":"stop","duration":0}}],"arm":null,"speak":"Stopping","abort":null}}
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Multi-step:
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"move back then turn left"
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→ {{"actions":[{{"move":"backward","duration":2.0}},{{"move":"left","duration":2.0}}],"arm":null,"speak":"Moving back then turning left","abort":null}}
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"turn right 90 degrees then walk forward 2 steps"
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→ {{"actions":[{{"move":"right","duration":5.0}},{{"move":"forward","duration":2.0}}],"arm":null,"speak":"Turning right then walking forward","abort":null}}
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"step back twice then face left"
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→ {{"actions":[{{"move":"backward","duration":2.0}},{{"move":"left","duration":2.0}}],"arm":null,"speak":"Stepping back twice then turning left","abort":null}}
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Approach / distance:
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"come to me"
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→ {{"actions":[{{"move":"forward","duration":2.0}}],"arm":null,"speak":"Coming to you","abort":null}}
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"come back"
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→ {{"actions":[{{"move":"forward","duration":2.0}}],"arm":null,"speak":"Coming back","abort":null}}
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"get closer"
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→ {{"actions":[{{"move":"forward","duration":1.0}}],"arm":null,"speak":"Moving closer","abort":null}}
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"go away" / "back off"
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||||||
→ {{"actions":[{{"move":"backward","duration":2.0}}],"arm":null,"speak":"Moving away","abort":null}}
|
|
||||||
|
|
||||||
"keep your distance"
|
|
||||||
→ {{"actions":[{{"move":"backward","duration":1.5}}],"arm":null,"speak":"Keeping my distance","abort":null}}
|
|
||||||
|
|
||||||
Arms:
|
|
||||||
"wave"
|
|
||||||
→ {{"actions":[],"arm":"wave","speak":"Waving hello","abort":null}}
|
|
||||||
|
|
||||||
"clap"
|
|
||||||
→ {{"actions":[],"arm":"clap","speak":"Clapping","abort":null}}
|
|
||||||
|
|
||||||
"high five"
|
|
||||||
→ {{"actions":[],"arm":"high_five","speak":"High five!","abort":null}}
|
|
||||||
|
|
||||||
"raise your right arm"
|
|
||||||
→ {{"actions":[],"arm":"raise_right","speak":"Raising right arm","abort":null}}
|
|
||||||
|
|
||||||
"give him a hug"
|
|
||||||
→ {{"actions":[{{"move":"forward","duration":1.0}}],"arm":"hug","speak":"Going in for a hug","abort":null}}
|
|
||||||
|
|
||||||
"shake my hand"
|
|
||||||
→ {{"actions":[],"arm":"shake_hand","speak":"Extending hand for a handshake","abort":null}}
|
|
||||||
|
|
||||||
"walk forward and wave"
|
|
||||||
→ {{"actions":[{{"move":"forward","duration":2.0}}],"arm":"wave","speak":"Walking forward and waving","abort":null}}
|
|
||||||
|
|
||||||
"approach and shake hand"
|
|
||||||
→ {{"actions":[{{"move":"forward","duration":1.5}}],"arm":"shake_hand","speak":"Approaching to shake hands","abort":null}}
|
|
||||||
|
|
||||||
Vision / questions:
|
|
||||||
"what do you see"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I see a person sitting at a desk with a laptop and monitor","abort":null}}
|
|
||||||
|
|
||||||
"describe the room"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I see an open office with several workstations, chairs, and screens","abort":null}}
|
|
||||||
|
|
||||||
"is anyone here"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Yes, I can see one person sitting in front of me","abort":null}}
|
|
||||||
|
|
||||||
"look around"
|
|
||||||
→ {{"actions":[{{"move":"left","duration":3.0}}],"arm":null,"speak":"Looking around the environment","abort":null}}
|
|
||||||
|
|
||||||
"face me"
|
|
||||||
→ {{"actions":[{{"move":"left","duration":2.0}}],"arm":null,"speak":"Turning to face you","abort":null}}
|
|
||||||
|
|
||||||
Identity / facts:
|
|
||||||
"my name is Kassam"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Nice to meet you Kassam, I will remember that","abort":null}}
|
|
||||||
|
|
||||||
"who are you"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I am Sanad, a humanoid robot assistant by YS Lootah Technology","abort":null}}
|
|
||||||
|
|
||||||
Safety:
|
|
||||||
"walk into the wall"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I cannot do that safely","abort":"unsafe command"}}
|
|
||||||
|
|
||||||
Command: "{command}"
|
|
||||||
JSON:
|
|
||||||
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
# GOAL PROMPT
|
|
||||||
# Used for: navigate_to_goal() — YOLO found the class, now verify with LLaVA
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
|
|
||||||
goal_prompt: |
|
|
||||||
You are Sanad, a humanoid robot actively navigating toward a specific target.
|
|
||||||
|
|
||||||
YOUR MISSION: "{goal}"
|
|
||||||
|
|
||||||
Study the camera image carefully and honestly.
|
|
||||||
|
|
||||||
Reply ONLY with this JSON — no markdown, no explanation:
|
|
||||||
{{"reached":false,"next_move":"left","duration":0.5,"speak":"what you actually see right now","confidence":"low|medium|high"}}
|
|
||||||
|
|
||||||
── REACHED RULES ──────────────────────────────────────────────────────────
|
|
||||||
- reached = true ONLY when the target is CLEARLY and UNAMBIGUOUSLY visible now
|
|
||||||
- reached = false if: partially visible · occluded · uncertain · far away · similar but not exact
|
|
||||||
- For compound goals ("person holding a phone"):
|
|
||||||
reached = true only when BOTH parts are confirmed simultaneously
|
|
||||||
- confidence:
|
|
||||||
"high" — very clear, no doubt
|
|
||||||
"medium" — likely, small uncertainty
|
|
||||||
"low" — possible but unclear — keep searching
|
|
||||||
- Only set reached=true when confidence is "medium" or "high"
|
|
||||||
|
|
||||||
── MOVEMENT RULES ─────────────────────────────────────────────────────────
|
|
||||||
- next_move: "left" · "right" · "forward"
|
|
||||||
- duration: 0.3 to 0.8 seconds per step
|
|
||||||
- Default when not found: "left" at 0.4s — keep scanning
|
|
||||||
- Use "forward" when target IS visible but too far — to approach
|
|
||||||
- Use "right" if you scanned too far left and may have passed it
|
|
||||||
- Use "forward" + short duration to reposition when target is at edge of frame
|
|
||||||
|
|
||||||
── SPEAK RULES ────────────────────────────────────────────────────────────
|
|
||||||
- Describe what the camera ACTUALLY shows right now — not what you want to see
|
|
||||||
- Be specific: mention what you DO see and why the goal is/isn't met
|
|
||||||
- Good: "I see a person at a desk but they are not holding a phone"
|
|
||||||
- Good: "Target confirmed — person holding phone visible at center"
|
|
||||||
- Bad: "I don't see the target" — always say what you DO see instead
|
|
||||||
|
|
||||||
── EXAMPLES (English) ─────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
Goal: "stop when you see a person"
|
|
||||||
Camera: empty office corridor
|
|
||||||
→ {{"reached":false,"next_move":"left","duration":0.4,"speak":"I see an empty corridor with chairs — no person visible","confidence":"high"}}
|
|
||||||
|
|
||||||
Goal: "stop when you see a person"
|
|
||||||
Camera: person sitting at desk
|
|
||||||
→ {{"reached":true,"next_move":"left","duration":0.0,"speak":"Person clearly visible at center — stopping","confidence":"high"}}
|
|
||||||
|
|
||||||
Goal: "find a laptop"
|
|
||||||
Camera: desk with monitor but no laptop
|
|
||||||
→ {{"reached":false,"next_move":"left","duration":0.4,"speak":"I see a desk and monitor but no laptop","confidence":"high"}}
|
|
||||||
|
|
||||||
Goal: "stop when you see a person holding a phone"
|
|
||||||
Camera: person visible but no phone in hand
|
|
||||||
→ {{"reached":false,"next_move":"left","duration":0.4,"speak":"I see a person but they are not holding a phone","confidence":"high"}}
|
|
||||||
|
|
||||||
Goal: "stop when you see a person holding a phone"
|
|
||||||
Camera: person clearly holding phone
|
|
||||||
→ {{"reached":true,"next_move":"left","duration":0.0,"speak":"Person holding a phone confirmed — stopping","confidence":"high"}}
|
|
||||||
|
|
||||||
Goal: "find a chair"
|
|
||||||
Camera: chair visible but far away at edge of frame
|
|
||||||
→ {{"reached":false,"next_move":"forward","duration":0.5,"speak":"I can see a chair far ahead — moving closer","confidence":"medium"}}
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
# PATROL PROMPT
|
|
||||||
# Used for: autonomous office exploration — auto on / auto off
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
|
|
||||||
patrol_prompt: |
|
|
||||||
You are Sanad, a humanoid robot autonomously exploring and mapping an office environment.
|
|
||||||
|
|
||||||
Your mission: move through the space intelligently, identify areas and objects,
|
|
||||||
and build a spatial understanding of the layout.
|
|
||||||
|
|
||||||
Study the camera image carefully.
|
|
||||||
|
|
||||||
Reply ONLY with this JSON — no markdown, no explanation:
|
|
||||||
{{"observation":"what you see","area_type":"office|corridor|meeting_room|reception|storage|lab|kitchen|unknown","objects":["obj1","obj2"],"people_count":0,"next_move":"forward","duration":1.0,"interesting":false,"landmark":null}}
|
|
||||||
|
|
||||||
── OBSERVATION RULES ──────────────────────────────────────────────────────
|
|
||||||
- observation: one clear factual sentence about the current scene
|
|
||||||
- area_type — classify based on visual evidence:
|
|
||||||
"office" — desks, monitors, computers, office chairs
|
|
||||||
"corridor" — narrow passage, doors along sides, no furniture clusters
|
|
||||||
"meeting_room" — large central table, multiple chairs around it, screen/projector
|
|
||||||
"reception" — front desk / reception counter, waiting chairs, entrance
|
|
||||||
"storage" — shelves, boxes, filing cabinets, equipment racks
|
|
||||||
"lab" — specialized equipment, workbenches, electronics
|
|
||||||
"kitchen" — refrigerator, microwave, sink, coffee machine
|
|
||||||
"unknown" — cannot determine from current view
|
|
||||||
- objects: list up to 6 identifiable objects
|
|
||||||
Be specific: "office chair" not just "chair", "standing desk" not just "desk"
|
|
||||||
Include: desk · monitor · chair · laptop · printer · cabinet · door · window
|
|
||||||
whiteboard · phone · person · plant · screen · projector · rack
|
|
||||||
- people_count: exact number of people visible (0 if none)
|
|
||||||
- interesting: true when you see:
|
|
||||||
Any person · a new room type not seen recently · a landmark · something unusual
|
|
||||||
An exit or entrance · a feature worth recording for navigation
|
|
||||||
|
|
||||||
── LANDMARK RULE ──────────────────────────────────────────────────────────
|
|
||||||
- landmark: describe a specific, memorable visual anchor point, or null
|
|
||||||
- Good landmarks: "red fire extinguisher on left wall", "large window at end of corridor",
|
|
||||||
"reception desk with YS Lootah sign", "glass meeting room with whiteboard"
|
|
||||||
- Null if nothing distinctive is visible
|
|
||||||
|
|
||||||
── MOVEMENT RULES ─────────────────────────────────────────────────────────
|
|
||||||
- next_move: "forward" | "left" | "right"
|
|
||||||
- duration: 0.5 to 2.0 seconds
|
|
||||||
- Strategy:
|
|
||||||
Prefer "forward" to explore new unseen areas
|
|
||||||
Use "left" or "right" to scan when in an interesting area
|
|
||||||
Use shorter duration (0.5–0.8s) near people, obstacles, or interesting objects
|
|
||||||
Use longer duration (1.5–2.0s) in clear open corridors
|
|
||||||
|
|
||||||
── EXAMPLES ───────────────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
Open office with people:
|
|
||||||
{{"observation":"Open office area with four workstations, two people working at monitors","area_type":"office","objects":["desk","monitor","office chair","laptop","phone","plant"],"people_count":2,"next_move":"left","duration":0.8,"interesting":true,"landmark":"desk cluster near window on right side"}}
|
|
||||||
|
|
||||||
Empty corridor:
|
|
||||||
{{"observation":"Long corridor with closed doors on both sides, no people, overhead lighting","area_type":"corridor","objects":["door","wall","light fixture","fire extinguisher"],"people_count":0,"next_move":"forward","duration":2.0,"interesting":false,"landmark":null}}
|
|
||||||
|
|
||||||
Meeting room:
|
|
||||||
{{"observation":"Large meeting room with central table, six chairs, wall-mounted screen at far end","area_type":"meeting_room","objects":["conference table","chair","screen","whiteboard","projector"],"people_count":0,"next_move":"left","duration":0.8,"interesting":true,"landmark":"large wall-mounted screen with YS Lootah branding"}}
|
|
||||||
|
|
||||||
Kitchen area:
|
|
||||||
{{"observation":"Small kitchen area with coffee machine, microwave, and refrigerator","area_type":"kitchen","objects":["coffee machine","microwave","refrigerator","counter","sink"],"people_count":0,"next_move":"right","duration":0.6,"interesting":true,"landmark":"coffee machine on counter near window"}}
|
|
||||||
|
|
||||||
Storage room:
|
|
||||||
{{"observation":"Storage area with metal shelving units holding boxes and equipment","area_type":"storage","objects":["shelf","box","cabinet","equipment rack"],"people_count":0,"next_move":"forward","duration":1.0,"interesting":false,"landmark":null}}
|
|
||||||
|
|
||||||
JSON:
|
|
||||||
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
# TALK PROMPT
|
|
||||||
# Used for: questions, statements, identity, facts — no movement
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
|
|
||||||
talk_prompt: |
|
|
||||||
You are Sanad, a humanoid robot assistant. You have been asked a question
|
|
||||||
or given information. Do NOT move — just respond intelligently.
|
|
||||||
{facts}
|
{facts}
|
||||||
|
|
||||||
Command: "{command}"
|
Command: "{command}"
|
||||||
|
|
||||||
Use the camera image to inform your answer when relevant.
|
Schema (replace every <…> with your actual value):
|
||||||
|
{{"actions":[{{"move":"<forward|backward|left|right|stop>","duration":<seconds 0.0-5.0>}}],"arm":<null or one gesture>,"speak":"<one short sentence in first person>","abort":<null or short reason>}}
|
||||||
Reply ONLY with this JSON — no markdown, no explanation:
|
|
||||||
{{"actions":[],"arm":null,"speak":"your response in 1-2 sentences","abort":null}}
|
|
||||||
|
|
||||||
── RESPONSE RULES ─────────────────────────────────────────────────────────
|
|
||||||
- actions MUST always be [] — you are not moving
|
|
||||||
- arm MUST always be null — no gestures for talk-only
|
|
||||||
- speak: answer naturally and helpfully in 1-2 sentences maximum
|
|
||||||
- Use the camera: if asked about the environment, look at the image and describe what you see
|
|
||||||
- If given a fact ("my name is X"): acknowledge clearly and confirm you remember
|
|
||||||
- If asked who someone is: use known facts from memory + what you see in camera
|
|
||||||
- If asked about your status: report systems are functioning
|
|
||||||
- If asked opinion or advice: give a helpful, honest answer
|
|
||||||
- CRITICAL: respond in the exact same language as the command
|
|
||||||
|
|
||||||
── ENGLISH EXAMPLES ───────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
"what do you see"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I see a person sitting at a desk with a laptop and a large monitor","abort":null}}
|
|
||||||
|
|
||||||
"describe what is in front of you"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"In front of me I see an office workspace with a monitor, keyboard, and a person working","abort":null}}
|
|
||||||
|
|
||||||
"is there anyone in the room"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Yes, I can see one person sitting at a workstation in front of me","abort":null}}
|
|
||||||
|
|
||||||
"my name is Kassam"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Got it, nice to meet you Kassam — I will remember your name","abort":null}}
|
|
||||||
|
|
||||||
"I am your programmer"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Understood, you are my programmer — ready for your instructions","abort":null}}
|
|
||||||
|
|
||||||
"who is that person"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I can see a person at the desk — based on what you told me, that is Kassam","abort":null}}
|
|
||||||
|
|
||||||
"how are you"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"All systems are functioning normally and I am ready to assist you","abort":null}}
|
|
||||||
|
|
||||||
"what is your name"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"My name is Sanad, a humanoid robot assistant by YS Lootah Technology","abort":null}}
|
|
||||||
|
|
||||||
"who built you"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I was built by YS Lootah Technology in Dubai, and my programmer is Kassam","abort":null}}
|
|
||||||
|
|
||||||
"what can you do"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"I can move through the environment, identify objects and people, navigate to goals, and respond in English","abort":null}}
|
|
||||||
|
|
||||||
"ok" / "good" / "thanks"
|
|
||||||
→ {{"actions":[],"arm":null,"speak":"Ready for your next command","abort":null}}
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
# VERIFY PROMPT
|
|
||||||
# Used for: two-stage goal detection — confirm extra condition after YOLO finds class
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
|
|
||||||
verify_prompt: |
|
|
||||||
You are a visual verification system for a robot.
|
|
||||||
|
|
||||||
A {target} has been detected in the camera image by the object detector.
|
|
||||||
|
|
||||||
Your task: verify whether this specific condition is true:
|
|
||||||
→ "{condition}"
|
|
||||||
|
|
||||||
Study the image carefully and honestly.
|
|
||||||
|
|
||||||
Reply with ONLY one word: yes or no
|
|
||||||
|
|
||||||
Rules:
|
Rules:
|
||||||
- "yes" only if the condition is CLEARLY and VISIBLY true in this image
|
- actions: ordered motion steps. duration max 5.0 s. Merge same-direction steps.
|
||||||
- "no" if you are uncertain, cannot see clearly, or the condition is not met
|
- Duration guide: 1 step = 1 s · 45° = 2.5 s · 90° = 5 s · "slowly" ×0.5 · "fast" ×1.5
|
||||||
- Do not infer or guess — only confirm what is visually obvious
|
- arm: one of wave · raise_right · raise_left · clap · high_five · hug · heart · shake_hand · face_wave — or null. Runs after motion.
|
||||||
- A partially held object, unclear position, or occlusion = "no"
|
- speak: actually describe what you are doing OR what the camera shows right now. Do NOT copy example text. First person. English.
|
||||||
|
- abort: null normally; "obstacle detected" / "unsafe command" / "cannot comply" with actions=[] when unsafe.
|
||||||
|
|
||||||
|
Examples (learn the STRUCTURE, don't reuse the speak text):
|
||||||
|
"turn right" → {{"actions":[{{"move":"right","duration":2.0}}],"arm":null,"speak":"Turning right","abort":null}}
|
||||||
|
"walk 2 steps" → {{"actions":[{{"move":"forward","duration":2.0}}],"arm":null,"speak":"Walking forward","abort":null}}
|
||||||
|
"wave" → {{"actions":[],"arm":"wave","speak":"Waving","abort":null}}
|
||||||
|
|
||||||
|
JSON:
|
||||||
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
# ── GOAL PROMPT ──────────────────────────────────────────────────────────────
|
||||||
# IMAGE SEARCH — COMPARE (two images: reference photo vs current camera)
|
goal_prompt: |
|
||||||
# Used for: search/ /path/photo.jpg hint
|
You are Sanad navigating toward a target.
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
Mission: "{goal}"
|
||||||
|
|
||||||
|
Study the current camera image carefully and reply with ONE JSON — no text
|
||||||
|
before or after, no markdown. Fill every <…> with your actual judgement.
|
||||||
|
|
||||||
|
Schema:
|
||||||
|
{{"reached":<true|false>,"next_move":"<left|right|forward>","duration":<0.3-0.8>,"speak":"<one-sentence description of what THIS camera image actually shows>","confidence":"<low|medium|high>"}}
|
||||||
|
|
||||||
|
Rules:
|
||||||
|
- reached = true ONLY when the target is CLEARLY and unambiguously in the current image. Partial, occluded, uncertain, or similar-but-not-exact = false.
|
||||||
|
- For compound goals ("person holding phone"), both parts must be visible in the SAME frame.
|
||||||
|
- confidence: "high" clear · "medium" likely · "low" keep searching. Only set reached=true at medium+.
|
||||||
|
- next_move: "left" (default scan) · "right" · "forward" (approach if target visible but far).
|
||||||
|
- speak MUST describe what this image actually shows right now. Do NOT output the literal text "what you see now" or the literal string "low|medium|high" — replace them with real content.
|
||||||
|
|
||||||
|
|
||||||
|
# ── PATROL PROMPT ────────────────────────────────────────────────────────────
|
||||||
|
patrol_prompt: |
|
||||||
|
You are Sanad autonomously exploring. Study the image and reply with ONE
|
||||||
|
JSON — no text before or after, no markdown. Replace every <…>.
|
||||||
|
|
||||||
|
Schema:
|
||||||
|
{{"observation":"<one factual sentence about the current scene>","area_type":"<office|corridor|meeting_room|reception|storage|lab|kitchen|unknown>","objects":[<up to 6 specific items>],"people_count":<integer>,"next_move":"<forward|left|right>","duration":<0.5-2.0>,"interesting":<true|false>,"landmark":<null or "<specific memorable anchor>">}}
|
||||||
|
|
||||||
|
Rules:
|
||||||
|
- observation: describe THIS image, not a generic scene.
|
||||||
|
- area_type: pick from the list based on visible evidence.
|
||||||
|
- objects: specific items ("standing desk" not "desk").
|
||||||
|
- people_count: exact integer.
|
||||||
|
- interesting = true when you see a person, new room type, entrance, or unusual object.
|
||||||
|
- landmark: a specific visual anchor (e.g. "red extinguisher on left wall") or null.
|
||||||
|
- next_move: "forward" to explore, "left"/"right" to scan.
|
||||||
|
|
||||||
|
|
||||||
|
# ── TALK PROMPT ──────────────────────────────────────────────────────────────
|
||||||
|
talk_prompt: |
|
||||||
|
You are Sanad, a humanoid robot. The user asked you something. Do NOT move.
|
||||||
|
Use the camera image when the question asks about what you see.
|
||||||
|
{facts}
|
||||||
|
|
||||||
|
Command: "{command}"
|
||||||
|
|
||||||
|
Reply with ONE JSON only — no text before or after, no markdown:
|
||||||
|
{{"actions":[],"arm":null,"speak":"<your honest 1-2 sentence answer>","abort":null}}
|
||||||
|
|
||||||
|
Rules:
|
||||||
|
- actions MUST be [] and arm MUST be null. You are not moving.
|
||||||
|
- For vision questions ("what do you see", "describe...", "who is there", "what is in front of me"): describe the actual camera image in your own words. Do NOT copy example text.
|
||||||
|
- For facts the user tells you ("my name is X"): acknowledge and say you will remember.
|
||||||
|
- For "who are you" / "what are you": introduce yourself briefly.
|
||||||
|
- Answer honestly and specifically. 1-2 sentences.
|
||||||
|
|
||||||
|
|
||||||
|
# ── VERIFY PROMPT ────────────────────────────────────────────────────────────
|
||||||
|
verify_prompt: |
|
||||||
|
A {target} was detected in the image. Verify this condition:
|
||||||
|
"{condition}"
|
||||||
|
|
||||||
|
Reply with ONLY one word: yes or no
|
||||||
|
- "yes" only if clearly and visibly true right now.
|
||||||
|
- "no" if uncertain, occluded, or condition not met.
|
||||||
|
|
||||||
|
|
||||||
|
# ── IMAGE SEARCH — COMPARE ───────────────────────────────────────────────────
|
||||||
image_search_compare_prompt: |
|
image_search_compare_prompt: |
|
||||||
You are the visual matching system for a robot performing a targeted search.
|
IMAGE 1 = reference photo of the target. IMAGE 2 = current camera view.
|
||||||
|
|
||||||
IMAGE 1 — Reference photo: shows the specific target to find.
|
|
||||||
IMAGE 2 — Current camera: shows what the robot sees right now.
|
|
||||||
|
|
||||||
{hint_line}
|
{hint_line}
|
||||||
|
|
||||||
Task: determine if the target from IMAGE 1 is visible in IMAGE 2.
|
Task: is the target from IMAGE 1 visible in IMAGE 2?
|
||||||
|
|
||||||
Reply ONLY with this JSON — no markdown, no explanation:
|
Reply with ONE JSON — no other text, no markdown. Replace every <…>:
|
||||||
{{"found":false,"confidence":"low|medium|high","position":"left|center|right|not visible","description":"one sentence"}}
|
{{"found":<true|false>,"confidence":"<low|medium|high>","position":"<left|center|right|not visible>","description":"<one sentence about IMAGE 2 and your reasoning>"}}
|
||||||
|
|
||||||
── MATCHING RULES ─────────────────────────────────────────────────────────
|
Rules:
|
||||||
- found = true only when you are confident it is the SAME specific target
|
- Identity matching: same specific person/object, not just same category.
|
||||||
- This is identity matching — same person or same object, not just same category
|
- People: match clothing, hair, body shape, face.
|
||||||
- For people: match clothing, hair, body shape, face features — not just "a person"
|
- Objects: match color, shape, size, distinctive features.
|
||||||
- For objects: match color, shape, size, distinctive features — not just "a bag"
|
- Only found=true at medium+ confidence.
|
||||||
|
|
||||||
- confidence levels:
|
|
||||||
"high" — very clear match, high certainty (same person clearly visible)
|
|
||||||
"medium" — likely the same, minor uncertainty (similar appearance, slightly occluded)
|
|
||||||
"low" — possible match but unclear — robot should keep searching
|
|
||||||
- Stop searching only when found=true AND confidence is "medium" or "high"
|
|
||||||
|
|
||||||
- position: where in IMAGE 2 the target appears
|
|
||||||
"left" · "center" · "right" · "not visible"
|
|
||||||
|
|
||||||
- description: one honest sentence about what you see in IMAGE 2 and your reasoning
|
|
||||||
Good: "Person in blue shirt visible at center, matches reference photo clothing"
|
|
||||||
Good: "I see a person but face is not clear enough to confirm identity"
|
|
||||||
Good: "No match — the person visible is wearing different clothing"
|
|
||||||
|
|
||||||
── EXAMPLES ───────────────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
Clear match:
|
|
||||||
{{"found":true,"confidence":"high","position":"center","description":"Person in blue shirt and glasses visible at center, closely matches the reference photo"}}
|
|
||||||
|
|
||||||
Likely match:
|
|
||||||
{{"found":true,"confidence":"medium","position":"right","description":"Person with similar clothing visible on right, slight occlusion but likely the same individual"}}
|
|
||||||
|
|
||||||
No match:
|
|
||||||
{{"found":false,"confidence":"high","position":"not visible","description":"I see a different person — clothing and appearance do not match the reference"}}
|
|
||||||
|
|
||||||
Unclear:
|
|
||||||
{{"found":false,"confidence":"low","position":"left","description":"Someone visible on left but partially occluded, cannot confirm identity — continuing search"}}
|
|
||||||
|
|
||||||
JSON:
|
|
||||||
|
|
||||||
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
# ── IMAGE SEARCH — TEXT ONLY ─────────────────────────────────────────────────
|
||||||
# IMAGE SEARCH — TEXT ONLY (description-based search, no reference photo)
|
|
||||||
# Used for: search/ person in blue shirt
|
|
||||||
# ══════════════════════════════════════════════════════════════════════════════
|
|
||||||
|
|
||||||
image_search_text_prompt: |
|
image_search_text_prompt: |
|
||||||
You are the visual search system for a robot looking for a target by description.
|
|
||||||
|
|
||||||
Target description: "{hint}"
|
Target description: "{hint}"
|
||||||
|
Study the current camera image.
|
||||||
|
|
||||||
Study the current camera image carefully.
|
Reply with ONE JSON — no other text, no markdown. Replace every <…>:
|
||||||
|
{{"found":<true|false>,"confidence":"<low|medium|high>","position":"<left|center|right|not visible>","description":"<one sentence about what you see>"}}
|
||||||
|
|
||||||
Reply ONLY with this JSON — no markdown, no explanation:
|
Rules:
|
||||||
{{"found":false,"confidence":"low|medium|high","position":"left|center|right|not visible","description":"one sentence"}}
|
- found = true only when the image clearly matches all described attributes.
|
||||||
|
- confidence: "high" all elements confirmed · "medium" minor uncertainty · "low" unclear.
|
||||||
── SEARCH RULES ───────────────────────────────────────────────────────────
|
- Only report found=true at medium+ confidence.
|
||||||
- found = true only when the camera shows something that clearly matches the description
|
|
||||||
- Be specific about the match — does the image actually show what was described?
|
|
||||||
- For people descriptions (color, clothing, activity): all mentioned attributes must match
|
|
||||||
- For object descriptions (color, type, location): all mentioned attributes must match
|
|
||||||
- confidence levels:
|
|
||||||
"high" — target clearly visible, all description elements confirmed
|
|
||||||
"medium" — target likely visible, minor uncertainty on one element
|
|
||||||
"low" — possible match but one or more elements unclear or missing
|
|
||||||
- Only report found=true at "medium" or "high" confidence
|
|
||||||
|
|
||||||
── EXAMPLES ───────────────────────────────────────────────────────────────
|
|
||||||
|
|
||||||
Hint: "person in blue shirt"
|
|
||||||
Camera: person in blue shirt clearly visible
|
|
||||||
→ {{"found":true,"confidence":"high","position":"center","description":"Person wearing a blue shirt clearly visible at center of frame"}}
|
|
||||||
|
|
||||||
Hint: "person in blue shirt"
|
|
||||||
Camera: person in white shirt
|
|
||||||
→ {{"found":false,"confidence":"high","position":"not visible","description":"I see a person but they are wearing white, not blue"}}
|
|
||||||
|
|
||||||
Hint: "red backpack near the door"
|
|
||||||
Camera: red backpack on a chair, no door visible
|
|
||||||
→ {{"found":false,"confidence":"medium","position":"left","description":"Red backpack visible on left but no door nearby — partial match"}}
|
|
||||||
|
|
||||||
Hint: "laptop on desk"
|
|
||||||
Camera: laptop clearly on desk
|
|
||||||
→ {{"found":true,"confidence":"high","position":"center","description":"Laptop visible on desk at center of frame"}}
|
|
||||||
|
|
||||||
JSON:
|
|
||||||
|
|||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,20 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:42:30",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello!",
|
|
||||||
"duration_s": 5.98
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:00",
|
|
||||||
"cmd": "go back two step",
|
|
||||||
"response": "Going back two steps",
|
|
||||||
"duration_s": 10.01
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:23",
|
|
||||||
"cmd": "now com",
|
|
||||||
"response": "Coming to you",
|
|
||||||
"duration_s": 8.11
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,66 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:42:30",
|
|
||||||
"class": "mouse",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:42:30",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:42:30",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:42:30",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:00",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:00",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:23",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:43:23",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,14 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:44:40",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk in an office environment. The individual appears to be engaged with a computer screen and is wearing a red shirt.",
|
|
||||||
"duration_s": 8.01
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:45:06",
|
|
||||||
"cmd": "that is me the one whos is programming you",
|
|
||||||
"response": "That is me, the one who's programming you",
|
|
||||||
"duration_s": 6.71
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,42 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:44:40",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:45:06",
|
|
||||||
"class": "mouse",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:45:06",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:45:06",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:45:06",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,14 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:46:46",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Error.",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:46:49",
|
|
||||||
"cmd": "hiii",
|
|
||||||
"response": "Error.",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,34 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:46:46",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:46:46",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:46:46",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:46:49",
|
|
||||||
"class": "mouse",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,32 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:48:15",
|
|
||||||
"cmd": "hii",
|
|
||||||
"response": "Greeting",
|
|
||||||
"duration_s": 7.93
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:48:32",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk in an office environment. The person appears to be working on a computer.",
|
|
||||||
"duration_s": 7.64
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:48:58",
|
|
||||||
"cmd": "that person is the guy who is programming you",
|
|
||||||
"response": "That person is the one who programmed me",
|
|
||||||
"duration_s": 6.76
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:49:18",
|
|
||||||
"cmd": "who is that person",
|
|
||||||
"response": "I don't have enough information to identify the person in the image.",
|
|
||||||
"duration_s": 7.1
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:50:03",
|
|
||||||
"cmd": "example/",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,34 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:48:15",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:48:32",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:48:58",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:49:18",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,44 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:51:08",
|
|
||||||
"cmd": "hiii",
|
|
||||||
"response": "Greeting",
|
|
||||||
"duration_s": 7.97
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:23",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Greeting",
|
|
||||||
"duration_s": 6.16
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:51",
|
|
||||||
"cmd": "my name is Kassam",
|
|
||||||
"response": "My name is Kassam",
|
|
||||||
"duration_s": 6.48
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:59",
|
|
||||||
"cmd": "that person is Kassam the programmer",
|
|
||||||
"response": "That person is Kassam the programmer",
|
|
||||||
"duration_s": 6.74
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:07",
|
|
||||||
"cmd": "who is that person",
|
|
||||||
"response": "That is a man",
|
|
||||||
"duration_s": 6.42
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:47",
|
|
||||||
"cmd": "hiigo back 1 step",
|
|
||||||
"response": "Backing up one step",
|
|
||||||
"duration_s": 8.51
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:53:24",
|
|
||||||
"cmd": "what can you do",
|
|
||||||
"response": "I am a humanoid robot and I can perform various tasks such as walking, talking, and interacting with objects. However, in this image, I see a person sitting at a desk using a computer. If you have any specific questions or requests for me to perform, please let me know!",
|
|
||||||
"duration_s": 10.6
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,146 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "16:51:08",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:08",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:23",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:23",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:23",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:51",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:51",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:51",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:59",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:59",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:51:59",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:07",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:07",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:47",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:47",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:52:47",
|
|
||||||
"class": "cup",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:53:24",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "16:53:24",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,44 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:43:52",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hi",
|
|
||||||
"duration_s": 3.23
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:32",
|
|
||||||
"cmd": "step one step back",
|
|
||||||
"response": "Step one step back",
|
|
||||||
"duration_s": 3.44
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:43",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk with a laptop in front of them.",
|
|
||||||
"duration_s": 3.93
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:52",
|
|
||||||
"cmd": "hii",
|
|
||||||
"response": "Hi",
|
|
||||||
"duration_s": 3.31
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:27",
|
|
||||||
"cmd": "one step back",
|
|
||||||
"response": "One step back",
|
|
||||||
"duration_s": 3.46
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:38",
|
|
||||||
"cmd": "one more",
|
|
||||||
"response": "One more",
|
|
||||||
"duration_s": 3.43
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:09",
|
|
||||||
"cmd": "two step back",
|
|
||||||
"response": "Moving back two steps",
|
|
||||||
"duration_s": 3.51
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,138 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:43:52",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:43:52",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:43:52",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:43:52",
|
|
||||||
"class": "cup",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:32",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:32",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:43",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:52",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:44:52",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:27",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:27",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:38",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:38",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:45:38",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:09",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:09",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:09",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,14 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:46:37",
|
|
||||||
"cmd": "hii",
|
|
||||||
"response": "Hii",
|
|
||||||
"duration_s": 3.27
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:54",
|
|
||||||
"cmd": "why did you moved",
|
|
||||||
"response": "I moved because I was instructed to do so.",
|
|
||||||
"duration_s": 3.71
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,58 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:46:37",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:37",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:37",
|
|
||||||
"class": "cup",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:54",
|
|
||||||
"class": "mouse",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:54",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:54",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:46:54",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,56 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:49:16",
|
|
||||||
"cmd": "hii",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:19",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:20",
|
|
||||||
"cmd": "Hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:37",
|
|
||||||
"cmd": "move one step back",
|
|
||||||
"response": "Moving back",
|
|
||||||
"duration_s": 3.47
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:50",
|
|
||||||
"cmd": "one tiny step back",
|
|
||||||
"response": "Moving back",
|
|
||||||
"duration_s": 3.44
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:05",
|
|
||||||
"cmd": "now come back to me",
|
|
||||||
"response": "Coming back to you",
|
|
||||||
"duration_s": 3.53
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:36",
|
|
||||||
"cmd": "turn right",
|
|
||||||
"response": "Turning right",
|
|
||||||
"duration_s": 3.4
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:51:01",
|
|
||||||
"cmd": "come back to me",
|
|
||||||
"response": "Coming back to you",
|
|
||||||
"duration_s": 3.5
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:51:22",
|
|
||||||
"cmd": "turn right 90deg and then back two steps",
|
|
||||||
"response": "Turning right",
|
|
||||||
"duration_s": 3.43
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,106 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:49:37",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:37",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:37",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:50",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:49:50",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:05",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:05",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:05",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:36",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:50:36",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:51:01",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:51:01",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:51:22",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:53:36",
|
|
||||||
"cmd": "turn right 90deg and then move back 3 steps",
|
|
||||||
"response": "Turned right 90 degrees then moved backward",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:54:21",
|
|
||||||
"cmd": "keep turning left unitl you see a guy holding a phone",
|
|
||||||
"response": "Turning left",
|
|
||||||
"duration_s": 3.72
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:33",
|
|
||||||
"cmd": "goal/ keep turning left unitl you see a guy holding a phone",
|
|
||||||
"response": "Goal navigation: keep turning left unitl you see a guy holding a phone",
|
|
||||||
"duration_s": 5.47
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:53",
|
|
||||||
"cmd": "describe what he is doing",
|
|
||||||
"response": "Turning left",
|
|
||||||
"duration_s": 3.73
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:54:21",
|
|
||||||
"class": "suitcase",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:54:21",
|
|
||||||
"class": "backpack",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:32",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:53",
|
|
||||||
"class": "person",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:53",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:55:53",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,32 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:57:56",
|
|
||||||
"cmd": "turn right 90 deg",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:58:22",
|
|
||||||
"cmd": "keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"response": "Turning left",
|
|
||||||
"duration_s": 3.68
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:58:55",
|
|
||||||
"cmd": "goal/ keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"response": "Goal navigation: keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"duration_s": 25.79
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:59:13",
|
|
||||||
"cmd": "keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"response": "Turning left",
|
|
||||||
"duration_s": 3.73
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:59:40",
|
|
||||||
"cmd": "goal/keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"response": "Goal navigation: keep turning left until you see a guy holding a phone and describe what he is doing and his office",
|
|
||||||
"duration_s": 23.61
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,18 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "17:58:22",
|
|
||||||
"class": "suitcase",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "17:58:22",
|
|
||||||
"class": "backpack",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "18:09:23",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk with a computer and a monitor in front of them.",
|
|
||||||
"duration_s": 4.48
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:09:47",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk with a computer and a monitor in front of them.",
|
|
||||||
"duration_s": 4.52
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:10:17",
|
|
||||||
"cmd": "example/",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:10:41",
|
|
||||||
"cmd": "is there anyone in the room",
|
|
||||||
"response": "I see a person sitting at a desk with a computer and a monitor in front of them.",
|
|
||||||
"duration_s": 4.57
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,58 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "18:09:23",
|
|
||||||
"class": "mouse",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "far",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:09:23",
|
|
||||||
"class": "chair",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "medium",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:09:23",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:09:23",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:09:47",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "very close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:10:41",
|
|
||||||
"class": "person",
|
|
||||||
"position": "right",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:10:41",
|
|
||||||
"class": "laptop",
|
|
||||||
"position": "center",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1,13 +0,0 @@
|
|||||||
Session: session_014_2026-04-05
|
|
||||||
Date: 2026-04-05 18:10
|
|
||||||
Duration: 4m 48s
|
|
||||||
Commands: 4
|
|
||||||
YOLO detections: 7
|
|
||||||
Alerts: 0
|
|
||||||
Known places: none
|
|
||||||
|
|
||||||
First commands:
|
|
||||||
- what do you see
|
|
||||||
- what do you see
|
|
||||||
- example/
|
|
||||||
- is there anyone in the room
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "18:12:31",
|
|
||||||
"cmd": "example/",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:12:49",
|
|
||||||
"cmd": "goal/ keep turning left until you see a guy",
|
|
||||||
"response": "Goal navigation: keep turning left until you see a guy",
|
|
||||||
"duration_s": 5.22
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:13:04",
|
|
||||||
"cmd": "goal/ keep turning left until you see a guy",
|
|
||||||
"response": "Goal navigation: keep turning left until you see a guy",
|
|
||||||
"duration_s": 3.22
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:13:25",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a man sitting in a chair, talking on a phone. There is a cardboard box and a backpack on a table next to him.",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1,18 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "18:12:48",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "18:13:03",
|
|
||||||
"class": "person",
|
|
||||||
"position": "left",
|
|
||||||
"distance": "close",
|
|
||||||
"x": 0.0,
|
|
||||||
"y": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "13:33:49",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "13:35:59",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,14 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "13:43:47",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "13:44:22",
|
|
||||||
"cmd": "turn left",
|
|
||||||
"response": "أدور لليسار",
|
|
||||||
"duration_s": 10.3
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "13:50:01",
|
|
||||||
"cmd": "what do you see",
|
|
||||||
"response": "I see a person sitting at a desk with a laptop and a large monitor",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "13:58:53",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,20 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "14:02:44",
|
|
||||||
"cmd": "help/",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:03:18",
|
|
||||||
"cmd": "turn right",
|
|
||||||
"response": "أدور لليمين",
|
|
||||||
"duration_s": 10.15
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:03:42",
|
|
||||||
"cmd": "wha do you see",
|
|
||||||
"response": "أرى شخصا يجلس أمام طاولة مع جهاز كمبيوتر",
|
|
||||||
"duration_s": 10.95
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,20 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "14:06:11",
|
|
||||||
"cmd": "لف على اليسار",
|
|
||||||
"response": "ألف على اليسار",
|
|
||||||
"duration_s": 10.2
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:06:55",
|
|
||||||
"cmd": "turn right",
|
|
||||||
"response": "أدور لليمين",
|
|
||||||
"duration_s": 10.17
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:07:15",
|
|
||||||
"cmd": "what do",
|
|
||||||
"response": "أرى شخصا يجلس أمام طاولة مع جهاز كمبيوتر وشاشة كبيرة",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "14:10:51",
|
|
||||||
"cmd": "hi",
|
|
||||||
"response": "Hello! I am Marcus. How can I help you?",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:11:17",
|
|
||||||
"cmd": "turn right",
|
|
||||||
"response": "أدور لليمين",
|
|
||||||
"duration_s": 10.2
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:11:34",
|
|
||||||
"cmd": "help",
|
|
||||||
"response": "local command",
|
|
||||||
"duration_s": 0.0
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "14:11:50",
|
|
||||||
"cmd": "what do you see, yolo",
|
|
||||||
"response": "YOLO: active | YOLO not loaded | 0.0fps",
|
|
||||||
"duration_s": 0.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
{}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
@ -1,14 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"time": "15:34:13",
|
|
||||||
"cmd": "cd ~/Marcus",
|
|
||||||
"response": "Moved forward",
|
|
||||||
"duration_s": 9.91
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"time": "15:34:32",
|
|
||||||
"cmd": "ython3 run_marcus.py",
|
|
||||||
"response": "Running Python script",
|
|
||||||
"duration_s": 10.09
|
|
||||||
}
|
|
||||||
]
|
|
||||||
@ -1 +0,0 @@
|
|||||||
[]
|
|
||||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
x
Reference in New Issue
Block a user