Learning Reflexive Behavior for Contact-Rich Manipulation
cs.RO
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/mit-biomimetics/Cheetah-Software
Project page: https://frankarobotics.github.io/libfranka/0.15.0/cartesian_impedance_control_8cpp-example.html
Sources
- From a Single Demonstration to a General Policy for Contact-Rich Manipulation
- Learning-augmented robotic automation for real-world manufacturing
- Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation
- TDC: Sim-to-Real Transferable Directional Compliance for Contact-Rich Manipulation
- Proximal Policy Optimization Algorithms
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
- ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning
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