TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size

TeamHOI is a novel framework for learning a unified decentralized policy for cooperative human-object interactions (HOI) that works seamlessly across varying team sizes and object configurations. We evaluate our framework on a cooperative table transport task, where multiple agents must coordinate to form stable lifting formation and subsequently carry the object.

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