Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation
Simulating robot-world interactions is a cornerstone of Embodied AI. Recently, a few works have shown promise in leveraging video generations to transcend the rigid visual/physical constraints of traditional simulators. However, they primarily operate in 2D space or are guided by static environmental cues, ignoring the fundamental reality that robot-world interactions are inherently 4D spatiotemporal events that require precise interactive modeling. To restore this 4D essence while ensuring the precise robot control, we introduce Kinema4D, a new action-conditioned 4D generative robotic simulator that disentangles the robot-world interaction into: i) Precise 4D representation of robot cont...
| Authors | Mutian Xu, Tianbao Zhang, Tianqi Liu et al. |
|---|---|
| Primary category | cs.RO |
| Published | 17 March 2026 |
| Last updated at source | 17 March 2026 |
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- Minoday/Robo4D-200kDataset · cited by
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- Minoday/Robo4D-200kDataset
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