GeoBridge-VLA: Geometry-Aware Residual Adaptation for Vision-Language-Action Models
cs.CV, cs.RO
Submitted: 2026-10-04
Updated: 2026-10-04
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- DepthVLA: Enhancing Vision-Language-Action Models with Depth-Aware Spatial Reasoning
- From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
- G cubed VLA: Geometric Inductive Bias for Vision-Language-Action Models
- Vision Transformers for Dense Prediction
- ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
- Depth Anything V2
- Depth Anything 3: Recovering the Visual Space from Any Views
- Can Language Understand Depth?
- SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
- 3D-VLA: A 3D Vision-Language-Action Generative World Model
- FP3: A 3D Foundation Policy for Robotic Manipulation
- PointVLA: Injecting the 3D World into Vision-Language-Action Models
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