NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task

Originally published at: NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task | NVIDIA Developer Blog

● Large-scale GPU-based simulation can enable robot learning in simulation, and such solutions can be transferred to real robots without the need for physical access to the robots. This work combines the benefits of IsaacGym-based reinforcement learning for a three-finger in-hand manipulation task and transfers the learned policy to a remote real-world counterpart.

The future just arrived early - this latest breakthrough shows that large-scale GPU-based simulation enabling robots to learn can then be transferred to real robots without the need for physical access to the robots. Tell us how this helps with your research.