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

Preprint Jul 2026

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

Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing datasets often lack the diversity needed to capture differences in culture, geography, and human-robot interaction-factors that strongly shape...

Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al. · 0 citations