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RGB-D Video Generation for Improving Human-to-Robot Object Handover Prediction

Research

Source: arXiv cs.ROPublish time unverified

arXiv:2608.13028v2 Announce Type: replace-cross Abstract: Human-to-robot (H2R) object handover is a fundamental capability for human-robot collaboration, yet progress is hindered by the scarcity of large-scale, human-centric datasets and the significant sim-to-real gap.

RGB-D Video Generation for Improving Human-to-Robot Object Handover Prediction | Embodied Intelligence Observer