FoLD: Force-Informed Learning for Dexterous Articulated Object Manipulation
cs.RO
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/Genesis-Embodied-AI/genesis-world
Project page: https://gghgghgghgg.github.io/FoLD-project-page
Terminology
Sources
- AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
- Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration
- EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations
- SPIDER: Scalable Physics-Informed Dexterous Retargeting
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Proximal Policy Optimization Algorithms
- ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
- High-Dimensional Continuous Control Using Generalized Advantage Estimation
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