DexStitch: Learning and Composing Dexterous Skills from Human Videos via Contact-Aware Robotic Inpainting
cs.RO, cs.CV
Submitted: 2026-10-13
Updated: 2026-10-13
Comments: 9 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos
- EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations
- EgoMimic: Scaling Imitation Learning via Egocentric Video
- EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
- EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
- DexFlow: A Unified Approach for Dexterous Hand Pose Retargeting and Interaction
- DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
- DexMan: Learning Bimanual Dexterous Manipulation from Human and Generated Videos
- LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies
- Learning Skills from Action-Free Videos
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Qwen2.5-VL Technical Report
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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