Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging. - Zackory Erickson; Eliot Xing; Bharat Srirangam; Sonia Chernova; Charles C. Kemp (IROS, 2020)

Self-Activating Neural Ensembles for Continual Reinforcement Learning. - Sam Powers; Eliot Xing; Abhinav Gupta 001 (CoLLAs, 2022)

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. - Sam Powers; Eliot Xing; Eric Kolve; Roozbeh Mottaghi; Abhinav Gupta 001 (CoLLAs, 2022)

Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. - Zackory Erickson; Henry M. Clever; Vamsee Gangaram; Eliot Xing; Greg Turk; C. Karen Liu; Charles C. Kemp (IEEE Trans. Robotics, 2023)

How is the Pilot Doing: VTOL Pilot Workload Estimation by Multimodal Machine Learning on Psycho-physiological Signals. - Jong Hoon Park; Lawrence Chen 004; Ian Higgins; Zhaobo Zheng; Shashank Mehrotra; Kevin Salubre; Mohammadreza Mousaei; Steven Willits; Blaine Levedahl; Timothy Buker; Eliot Xing; Teruhisa Misu; et al. (RO-MAN, 2024)

Soft and Compliant Contact-Rich Hair Manipulation and Care. - Uksang Yoo; Nathaniel Dennler; Eliot Xing; Maja J. Mataric; Stefanos Nikolaidis; Jeffrey Ichnowski; Jean Oh (HRI, 2025)

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation. - Eliot Xing; Vernon Luk; Jean Oh (ICLR, 2025)