You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement
Bringing the reliability of agentic coding architectures to the fragile world of robotic policy development.
Coding agents such as Claude Code and Codex close the software loop: a main agent manages the loop, subagents analyze and execute, tools do the work. We port this architecture to robot-policy improvement, where one difference dominates the design: robotic tools---trained policies...
ArXiv CS.RO
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By adapting agentic coding architectures to robotics, this framework introduces robust, automated governance for the notoriously unreliable robot-policy development cycle. It transforms the paradigm from manual supervision to evidence-gated automation, ensuring that autonomous improvements remain reliable and verifiable.
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