SOURCE-LINKED INTELLIGENCE
Learning and Transferring Closed-Loop Robot Software
Closed-loop robot policies require observation processing, state management, and situation-dependent branching, making them costly to design and tune manually. Although coding agents increasingly support control-code generation and optimization, it remains unclear whether implementations improved on source tasks also support policy acquisition for new tasks. We study this question by treating complete closed-loop implementations as reusable execution experience. For each source task, a coding agent generates policy code from a few successful demonstrations and iteratively improves it using sim
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T08:51:12.000Z
- arXiv · Artificial Intelligence · 2026-09-17T08:51:12.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.