RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments
Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09
Category: cs.AI · 人工智能 · first seen 2026-10-09
Abstract
A generalist robot should not only perform diverse tasks but also improve through experience, turning what it learns during execution into capabilities that later tasks can reuse. Robot agents that act through code can already repair programs from execution feedback, yet it remains a central challenge to organize this experience around the task structure that gives it meaning, so that each repair
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Cite this page: RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments: the #367 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/roborsi-stable-efficient-and-reusable-robot-self-evolution-in-complex-real-world.html
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