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WPP reduced humanoid robot training time from 10 hours to under 1 hour by using Google Cloud's G4 VM instance powered by NVIDIA RTX PRO 6000 Blackwell.
•Captured human dance motion with OptiTrack mocap system and retargeted to OpenUSD digital twin of the robot
•Remapped 200+ degrees of human skeletal freedom to robot's 29-degree constraint using sophisticated 3D modeling
•Used MuJoCo physics engine for real-time simulation validation and NVIDIA Isaac Sim with reinforcement learning for training
•Achieved 10x speedup through G4 VM's P2P GPU topology for direct data transfer between GPUs
•Trained ONNX policy processes real-time IMU and joint position data to control robot movements with robustness to real-world variations like friction and sensor noise
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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