Rhythm transfers interactive whole-body behaviors from simulation to real dual Unitree G1 humanoids via interaction-aware retargeting and graph-reward RL.
Learning human-humanoid coordination for collaborative object carrying
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
PAINT lets legged robots infer partner intent from proprioception alone and perform stable cooperative transport without force-torque sensors or payload tracking.
citing papers explorer
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Rhythm: Learning Interactive Whole-Body Control for Dual Humanoids
Rhythm transfers interactive whole-body behaviors from simulation to real dual Unitree G1 humanoids via interaction-aware retargeting and graph-reward RL.
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PAINT: Partner-Agnostic Intent-Aware Cooperative Transport with Legged Robots
PAINT lets legged robots infer partner intent from proprioception alone and perform stable cooperative transport without force-torque sensors or payload tracking.