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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, reinforcement 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


publications


* equal contribution or advising

Uksang Yoo, Sarvesh Patil, Eliot Xing, Zeynep Temel, Oliver Kroemer, Jeffrey Ichnowski, Jean Oh

preprint, 2024

Sam Powers*, Eliot Xing*, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta

Conference on Lifelong Learning Agents (CoLLAs), 2022

Oral
Sam Powers, Eliot Xing, Abhinav Gupta

Conference on Lifelong Learning Agents (CoLLAs), 2022

Eliot Xing, Abhinav Gupta, Sam Powers*, Victoria Dean*

NeurIPS Workshop on Distribution Shifts, 2021

Zackory Erickson, Henry M. Clever, Vamsee Gangaram, Eliot Xing, Greg Turk, C. Karen Liu, Charles C. Kemp

IEEE Transactions on Robotics (T-RO), 2022

Zackory Erickson, Eliot Xing, Bharat Srirangam, Sonia Chernova, Charles C. Kemp

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