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Robot RL training can be dramatically sped up (3-10x) by decoupling CPU-based simulation from GPU-based learning, challenging the assumption that GPU-resident physics is essential for efficiency.
Unleash parallel robot learning with MuJoCoUni, enabling high-throughput batched physics evaluation without sacrificing upstream MuJoCo semantics.
Key contribution not extracted.
Humanoid robots can now nimbly manipulate objects across much larger workspaces thanks to a LiDAR-powered perception system that eliminates the need for constant repositioning.
