LATIDIA · Robótica

Hacia robots genéticos: modelo, datos, entorno y arnés

arXiv: 2610.20442v1Tipo de anuncio: nuevo Resumen: Los modelos de base están impulsando un cambio de paradigma en la inteligencia robótica, yendo más allá de la predicción de acciones de bajo nivel a la orquestación dirigida a objetivos de la recopilación de datos, modelo t

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arXiv:2610.20442v1 Announce Type: new Abstract: Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task planning, and real-world execution. We characterize this emerging paradigm as an agentic robots, in which agents reason over human instructions, interact with robotic environments, rectify execution errors autonomously, and dynamically adjust operational strategies. Although this field develops fast, current studies are not well connected. Researchers have no consistent view of how to combine different agentic functions into a complete robot system. This paper provides a unified overview of existing research on agentic robots. We first trace the development from robot policies