PAINT lets legged robots infer partner intent from proprioception alone and perform stable cooperative transport without force-torque sensors or payload tracking.
H2-compact: Human- humanoid co-manipulation via adaptive contact trajectory policies
2 Pith papers cite this work. Polarity classification is still indexing.
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A literature review of pHHI that proposes a taxonomy of interaction types by modality and engagement level while outlining pathways to integrate control, intent, and modeling for more seamless humanoid-human collaboration.
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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.
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Toward Seamless Physical Human-Humanoid Interaction: Insights from Control, Intent, and Modeling with a Vision for What Comes Next
A literature review of pHHI that proposes a taxonomy of interaction types by modality and engagement level while outlining pathways to integrate control, intent, and modeling for more seamless humanoid-human collaboration.