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$\omega$-0 enables humanoid robots to seamlessly integrate movement and manipulation, outperforming traditional models by predicting coordinated actions directly from sensory inputs.
EM-Fall's embodied sensing approach enables humanoid robots to maintain effective fall detection even in challenging environments, outperforming traditional systems.
Robots can now understand and act on your gaze while following language commands, enabling more intuitive and precise human-robot collaboration.
Forget retargeting: RoboForge's physics-optimized pipeline lets humanoids nail text-guided locomotion with better accuracy and stability.