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

● 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....

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