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 robot learning, deformable manipulation, and physics simulations.


Previously, I received my BS in Mathematics & BS in Computer Engineering from Georgia Tech, where I worked with Charlie Kemp and Sonia Chernova. In that period, I was part of RISS 2020 (remotely) and worked with Abhinav Gupta at Carnegie Mellon University. I was also fortunate to have been mentored by Zackory Erickson, Sam Powers, and Victoria Dean.

publications

* equal contribution or advising

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

IEEE 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

International Conference on Intelligent Robots and Systems (IROS), 2020

pdf / code / video / ieee /