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Author

Elvin Yang

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#machine learning Preprint Sep 2026

Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport

PROACT is introduced, a framework for human-robot collaborative transport that incorporates anticipation into compliant whole-body control through a learned model of human collaborative behavior, and transformer architecture distills collaborative behavior into predictions of future object motion.

Elvin Yang, Christoforos Mavrogiannis · 0 citations
Jul 2026

ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset

ACME is a large and diverse multi-modal dataset aimed at advancing social navigation research, providing 29.35 hours of onboard robot data and 43.5 hours of overhead pedestrian tracking data that captures more challenging scenarios and a broader distribution of pedestrian behavior than previous datasets.

Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al. · 1 citation

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