Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation
Recently, Vision-Language-Action (VLA) models have demonstrated strong generalization across diverse tasks. However, effective robotic manipulation in physical environments fundamentally requires geometric understanding and spatial reasoning. While some VLA approaches attempt to incorporate 3D information, they are constrained by limited data availability and geometric information loss in current 3D encoding pipelines, and fail to jointly capture 3D geometry and temporally structured actions in dynamic environments. To address these limitations, we introduce Lift3D-VLA, a unified VLA framework that equips models with explicit 3D point cloud reasoning and enables temporally coherent action...
| Authors | Jiaming Liu, Qingpo Wuwu, Nuowei Han et al. |
|---|---|
| Primary category | cs.RO |
| Published | 7 July 2026 |
| Last updated at source | 7 July 2026 |
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