LATIDIA · Robótica

PyRUA-REAL: Exploración de robots y aprendizaje adaptativo a través de RSI en el mundo real

arXiv:2611.06768v1 Tipo de anuncio: nuevo Resumen: Los agentes de codificación impulsados por modelos como GPT-6-Astra conectan el razonamiento espacial con el comportamiento del robot ejecutable, lo que plantea la cuestión de cómo dichos agentes pueden producir im duraderos

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arXiv:2611.06768v1 Announce Type: new Abstract: Coding agents powered by models such as GPT-6-Astra connect spatial reasoning with executable robot behavior, raising the question of how such agents can produce lasting improvements in robot capabilities from physical interaction. In this work, we study embodied recursive self-improvement (RSI) through real-world exploration, code refinement, and deployment using PyRUA-REAL, a framework in which coding agents retain interaction experience as persistent memory and reusable executable skills that inform subsequent exploration and improvement. Our empirical study places physical manipulation at the center of the improvement process, examining how agents collaborate, what kinds of execution feedback support effective code refinement, and how task specifications and previously acquired