LATIDIA · Robótica

Una revisión exhaustiva de la inteligencia artificial física generativa

arXiv:2609.18111v1 Tipo de anuncio: nuevo Resumen: La integración de modelos de cimientos a gran escala con realizaciones físicas ha llevado a avances significativos en robótica conocidos como Inteligencia Física Artificial Generativa

La noticia

arXiv:2609.18111v1 Announce Type: new Abstract: The integration of large-scale foundation models with physical embodiments has led to significant advancements in robotics known as Generative Physical Artificial Intelligence (GPAI). These agentic AI systems autonomously perceive, reason, and act in complex real-world situations. This survey comprehensively analyzes GPAI systems, focusing on their architectural foundations, current applications, and key limitations. We introduce a taxonomy of five distinct approaches: Robot Foundation Models (RFMs) for cross-platform skill transfer; Vision-Language Action (VLA) models for end-to-end multi-modal perception and control; Large Behavior Models (LBMs) for human-like movement generation; Diffusion Policy Models (DPMs) for diffusion model-based temporally coherent action generation; and World Foundation Models (WFMs) for physics-compliant simulation