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Who Improves the Robot? Toward Physical Recursive Self-Improvement

Paper recorded by Signals 4 on 2026-10-13 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.AI · 人工智能 · first seen 2026-10-14

Abstract

Robots are increasingly autonomous in task execution, yet their improvement remains largely human-driven. This study investigates Physical Recursive Self-Improvement (Physical RSI), in which physical experience guides lasting updates to both a robot's capabilities and its improvement procedure, making subsequent improvement more effective across tasks. Physical RSI faces challenges from noisy obse

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#330 most recent of 960 cs.AI papers we have recorded · ↑ newer: LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language- · ↓ older: Fast Rates for Offline Q-Learning with KL Regularization
Cite this page: Who Improves the Robot? Toward Physical Recursive Self-Improvement: the #330 most recent of 960 cs.AI papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/who-improves-the-robot-toward-physical-recursive-self-improvement.html
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