OATH: Object-Agnostic Tracking for Dexterous Hands, Enabling Rapid Physics-based Retargeting
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/mujocolab/mjlab
Sources
- Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration
- A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
- Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
- Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo
- TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
- Proximal Policy Optimization Algorithms
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