Addressing the Orchestration Gap in Generalist Robots via Physical Agency
來源:Liane Galanti · 收錄日期 2026-08-04 · 原文連結 ↗
A closed-loop VLM orchestrator that drives frozen robot skills — no new robot data, no fine-tuning.
Paper Code orchestrator · thinking
Hold the robot, cameras, scenes, demonstrations, and policy weights fixed. Change only the inference-time process. The same frozen skills succeed far more often inside the loop than when prompted directly — the orchestration gap.
Click a task to watch the agent reason through it — the full video alongside its step-by-step trace.
The orchestrator never emits motor commands. At each step it reads the observation and history, calls one tool, incorporates the result, and decides again — until the task predicate holds. Motion is delegated to skills it never trained.
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