ReDex: Repairing Sim-to-Real Dexterous Policies by Finger-Level Compliant Interaction
cs.RO
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/isaac-sim/IsaacSim
Sources
- SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
- DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
- Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
- Learning Dexterous Manipulation Skills from Imperfect Simulations
- DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation
- Hand-in-the-Loop: Improving VLA Policies for Dexterous Manipulation via Seamless Hand-Arm Intervention
- DexForce: Extracting Force-informed Actions from Kinesthetic Demonstrations for Dexterous Manipulation
- REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
- Human-in-the-Loop Imitation Learning using Remote Teleoperation
- KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation
- HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
- Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force
- Proximal Policy Optimization Algorithms
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- Decoupled Weight Decay Regularization
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