LATIDIA · Robótica

IA Autoenvolvente para Humanoides: Mecanismos, Seguridad y Evaluación de la Mejora Posterior al Despliegue

arXiv: 2609.13236v1Tipo de anuncio: nuevo Resumen: Los robots humanoides se están convirtiendo en una parte importante de la inteligencia artificial incorporada, impulsados por los avances en el aprendizaje de refuerzo para la locomoción, los modelos mundiales para la predicción

La noticia

arXiv:2609.13236v1 Announce Type: new Abstract: Humanoid robots are becoming an important part of embodied artificial intelligence, driven by advances in reinforcement learning for locomotion, world models for prediction, and vision-language-action models for general control. However, most of these systems remain static after deployment. A policy is trained offline for a fixed objective and then frozen, even though the tasks, environments, and robot bodies keep drifting over time. An emerging paradigm of self-evolving agents aims to address this problem by allowing systems to improve from their own post-deployment experience. Since most existing studies focus on disembodied software agents, this survey examines how self-evolution changes when an agent has a physical body.