Spatial Grafting: Grounding 3D Features for Flow-Matching Robot Policies
cs.RO, cs.AI, cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/Physical-Intelligence/openpi
Project page: https://robopro-bench.github.io/RoboPRO
Terminology
Sources
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- GLaD: Geometric Latent Distillation for Vision-Language-Action Models
- WAM4D: Fast 4D World Action Model via Spatial Register Tokens
- Learning 4D Geometric Priors for Inference-Efficient World Action Models
- 3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models
- Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
- Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge
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