Eliot Xing
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about

I am a PhD student in the Robotics Institute at Carnegie Mellon University, advised by Jean Oh. My research generally spans reinforcement learning, robot learning, and physics simulations.


Previously, I completed my B.S. in Mathematics & B.S. in Computer Engineering from Georgia Tech, where I worked with Charlie Kemp and Sonia Chernova. In that time, I worked with Abhinav Gupta at Carnegie Mellon University, and was part of RISS (2020, remotely) as well. Moreover, I was fortunate to collaborate with Zackory Erickson, Sam Powers, and Victoria Dean.


If you'd be interested in working with me, feel free to reach out!

teaching

Fall 2024
TA for 16-831: Intro to Robot Learning

Fall 2023
TA for 16-831: Intro to Robot Learning

publications

* equal contribution, ‡ equal advising

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing, Vernon Luk, Jean Oh

International Conference on Learning Representations (ICLR), 2025

 Spotlight
pdf / webpage / openreview /
Soft and Compliant Contact-Rich Hair Manipulation and Care
Uksang Yoo, Nathaniel Dennler, Eliot Xing, Maja Matariฤ‡, Stefanos Nikolaidis, Jeffrey Ichnowski, Jean Oh

Conference on Human-Robot Interaction (HRI), 2025

 Best Paper Finalist
pdf / webpage /
MOE-Touch More Deformation: Shape-Based Soft Robotic Contact Estimation for Manipulation
Uksang Yoo, Sarvesh Patil, Eliot Xing, Zeynep Temel, Oliver Kroemer, Jeffrey Ichnowski, Jean Oh

preprint, 2024

pdf /
How is the Pilot Doing: VTOL Pilot Workload Estimation by Multimodal Machine Learning on Psycho-physiological Signals
Jong Hoon Park*, Lawrence Chen*, Ian Higgins, Zhaobo Zheng, Shashank Mehrotra, Kevin Salubre, Mohammadreza Mousaei, Steven Willits, Blain Levedahl, Timothy Buker, Eliot Xing, Teruhisa Misu, Sebastian Scherer, Jean Oh

Conference on Robot and Human Interactive Communication (RO-MAN), 2024

pdf / ieee /
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers*, Eliot Xing*, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta

Conference on Lifelong Learning Agents (CoLLAs), 2022

 Oral
pdf / code / video / pmlr /
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers, Eliot Xing, Abhinav Gupta

Conference on Lifelong Learning Agents (CoLLAs), 2022

pdf / code / pmlr /
KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts
Eliot Xing, Abhinav Gupta, Sam Powers‡, Victoria Dean‡

NeurIPS Workshop on Distribution Shifts, 2021

pdf / code / slideslive /
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

Transactions on Robotics (T-RO), 2022

pdf / ieee /
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
Zackory Erickson, Eliot Xing, Bharat Srirangam, Sonia Chernova, Charles C. Kemp

Conference on Intelligent Robots and Systems (IROS), 2020

pdf / code / video / ieee /