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RTCF boosts the success of frozen VLA policies by leveraging past experiences without the need for retraining or extra GPU power.
Humanoid robots can now seamlessly transition between fighting skills thanks to a novel policy gating approach that ensures stability and smoothness.
Humanoid robots can now adapt to diverse environments without task-specific tuning by selectively "relaxing" joints, mimicking how humans exploit weightlessness for stability.
