You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement
3.80T1 sourcearXiv cs.RO
Source record
Published by arXiv cs.RO (T1 source). The original is at https://arxiv.org/abs/2608.07555.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAgenticRobotics ports the coding-agent architecture (main agent, subagents, tools) to robot-policy improvement as a backend-independent control plane. Key features include an immutable objective, controller-owned measurement, commit-keyed crash recovery, an evidence-graded skill library, and a tool registry that records quality at every call.
Why it mattersConcrete architecture for closing the loop on agentic policy training, with measurable false-promotion control, anytime-valid decisions, and tamper detection. Patterns generalize beyond robotics.
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