LATIDIA · Robótica
Generación 3D para IA incorporada y simulación robótica: una encuesta
arXiv: 2604.26509v4Tipo de anuncio: reemplazar Resumen: La IA incorporada y los sistemas robóticos dependen cada vez más de contenido 3D escalable, diverso y físicamente conectado a tierra para la capacitación basada en simulación y la implementación en el mundo real.
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arXiv:2604.26509v4 Announce Type: replace Abstract: Embodied AI and robotic systems increasingly depend on scalable, diverse, and physically grounded 3D content for simulation-based training and real-world deployment. While 3D generative modeling has advanced rapidly, embodied applications impose requirements far beyond visual realism: generated objects must carry kinematic structure and material properties, scenes must support interaction and task execution, and the resulting content must bridge the gap between simulation and reality. This survey reviews 3D generation for embodied AI and organizes the literature around three roles that 3D generation plays in embodied systems. In Data Generator, 3D generation produces simulation-ready objects and assets, including articulated, physically grounded, and deformable content for downstream