3D Generation for Embodied AI and Robotic Simulation: A Survey
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 obje...
| Authors | Tianwei Ye, Yifan Mao, Minwen Liao et al. |
|---|---|
| Primary category | cs.RO |
| Published | 29 April 2026 |
| Last updated at source | 8 May 2026 |
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