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
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- PossiblePossibly related (embedding) · 52%lucidrains/mimic-video →
- PossiblePossibly related (embedding) · 50%ghbalf/freecad-ai →
- LinkedLinked via arxiv author · 85%Jiaming Liu →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”
- LinkedLinked via arxiv author · 85%Qingpo Wuwu →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”
- LinkedLinked via arxiv author · 85%Nuowei Han →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”
- LinkedLinked via arxiv author · 85%Hao Chen →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”
- LinkedLinked via arxiv author · 85%Zhuoyang Liu →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”
- LinkedLinked via arxiv author · 85%Fan Fei →
“Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation”