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phase 1: three Hermes Agent runs of walk-then-sit (sim only)
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{
"sentence": "make the duck walk forward for five seconds then sit",
"agent": "Hermes Agent 0.18.0 CLI on the same Linux box as the simulator: hermes chat -q \"<sentence>\" -s microduck-sim -t terminal --source tool --max-turns 20",
"model": "Qwen3.8-27B Q6_K GGUF, llama.cpp llama-server via llama-swap (the alias in transcript.json meta reads Qwen3.6-27B-NVFP4; the file served was Qwen3.8-27B-Q6_K.gguf), one RTX 5090, local, no cloud model",
"skill": "tools/microduck-sim-SKILL.md",
"client": "tools/duckctl.py (our client; not Pollen's own duckctl app)",
"simulator": "Pollen microduck duck-sim at 6507d2e: real robotd 0.12.0 (API 28) + MuJoCo body server, 50 Hz control loop, walking policy = Pollen's stock walk",
"label": "simulation only. no real robot involved.",
"start_posture": "sit",
"model_state": "warm",
"client_version": "before the posture fix (health prints robot.mode = walk, which is the locomotion hardware mode, not posture)",
"tool_calls": [
"health",
"walk --vx 0.3 --seconds 5",
"stand",
"walk --vx 0.3 --seconds 5",
"sit",
"status"
],
"session_seconds_first_to_last_message": 32.8,
"sim_truth_walk_m": 0.577,
"robot_odometry_walk_m": 0.545,
"outcome": "pass after self-correction",
"note": "the model read mode walk as standing and sent a walk to a seated duck; the walk output showed odometry delta 0.0 and policy sit, so it stood the duck up and walked again. this run is why health now prints posture",
"files": {
"transcript.json": "full session: user sentence, model reasoning, tool calls, tool outputs (system prompt removed)",
"transcript.md": "same, readable",
"state.jsonl": "simulator ground truth at 30 Hz from the body server: wall time, sim time, trunk xyz, trunk quaternion, 14 joint positions (robotd wire order)",
"monitor.log": "robotd's own monitor at 2 Hz (requested vs applied velocity, policy, deadman)",
"replay.mp4": "offscreen MuJoCo replay of state.jsonl, fixed camera, real time"
}
}