Hand2Robot: Object-Centric 4D Hand Reconstruction from Human Demonstrations for Robotics
cs.RO, cs.CV
Submitted: 2026-10-11
Updated: 2026-10-11
Project page: https://hand2robot.github.io
Sources
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- SAM 3: Segment Anything with Concepts
- Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction
- SAM 3D: 3Dfy Anything in Images
- DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
- EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
- Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Detect Anything via Next Point Prediction
- MapAnything: Universal Feed-Forward Metric 3D Reconstruction
- Zero-shot Reconstruction of In-Scene Object Manipulation from Video
- Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
- VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
- R3M: A Universal Visual Representation for Robot Manipulation
- Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
- OpenAI GPT-5 System Card
- EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning
- Any-point Trajectory Modeling for Policy Learning
- PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
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- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies