A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
The paper evaluates multi-agent reinforcement learning for in-hand manipulation tasks on the Shadow Dexterous Hand.
Evidence notes
- The study’s named evaluation platform is Shadow Dexterous Hand from Shadow Robot.
Company context
Shadow Robot develops dexterous robotic hands, tactile sensing and teleoperation systems for manipulation research, embodied-AI labs and advanced robot-control work.