DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes
The paper proposes a dense multi-finger grasp-generation network and evaluates it with the Shadow Dexterous Hand in MuJoCo simulation.
Evidence notes
- The evaluation models Shadow Dexterous Hand in simulation, with the platform supplied by 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.