FLORE learns force-reactive humanoid loco-manipulation from handheld demos
On three contact-rich robot tasks the force-reactive policy succeeds in 80% of rollouts versus 26.7% for position-only.
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On three contact-rich robot tasks the force-reactive policy succeeds in 80% of rollouts versus 26.7% for position-only.
Pipeline pairs generated video with audio-derived force profiles to enable zero-shot, force-aware robot manipulation on Franka Panda for contact-rich tasks.
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