Robot Manipulation with GPT-6-Astra: Body Knowledge, Experience Reuse, Emergent Skills, and Sim2Real Transfer
Optimizing robot control through experience reuse and integrated body knowledge for faster sim-to-real deployment.
General-purpose multimodal agents can write robot-control programs, but repeated exploration and model-mediated action selection can make execution slow. We study how external body knowledge, successful experience, and executable skills improve an XLeRobot controlled by GPT-6-Ast...
ArXiv CS.RO
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Integrating external body knowledge and experience reuse allows general-purpose models to bypass the latency of trial-and-error exploration in robotic control. This approach marks a significant step toward deploying autonomous agents that can translate human-like reasoning into efficient, real-world physical actions.
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