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USC and NVIDIA's BCG Trains Humanoid Robots to Run and Fight Without Falls
A new smoothing trick lets differentiable simulators keep stiff, realistic contact physics while still producing gradients stable enough to train humanoid policies that transfer zero-shot to a real Unitree G1.
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AlphaSignal
Published
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AlphaSignal Newsroom
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1 min read
A new smoothing trick lets differentiable simulators keep stiff, realistic contact physics while still producing gradients stable enough to train humanoid policies that transfer zero-shot to a real Unitree G1.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
