Scholar
Eliot Xing
Google Scholar ID: wzmAVGsAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
188
H-index
6
i10-index
4
Publications
8
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - 'Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation' (ICLR 2025)
- - 'Soft and Compliant Contact-Rich Hair Manipulation and Care' (HRI 2025, Best Systems Paper Finalist)
- - 'How is the Pilot Doing: VTOL Pilot Workload Estimation by Multimodal Machine Learning on Psycho-physiological Signals' (RO-MAN 2024)
- - 'CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents' (CoLLAs 2022, Oral Presentation)
- - 'Self-Activating Neural Ensembles for Continual Reinforcement Learning' (CoLLAs 2022)
- - 'KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts' (NeurIPS Workshop on Distribution Shifts 2021)
- - 'Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction' (T-RO 2022)
- - 'Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging' (IROS 2020)
Research Experience
- Worked with Abhinav Gupta at Carnegie Mellon University and was part of RISS (2020, remotely). Also collaborated with Zackory Erickson, Sam Powers, and Victoria Dean.
Education
- Completed B.S. in Mathematics & B.S. in Computer Engineering from Georgia Tech, advised by Charlie Kemp and Sonia Chernova; currently a PhD student in the Robotics Institute at Carnegie Mellon University, co-advised by Jean Oh and Guanya Shi.
Background
- Research interests include reinforcement learning, robot learning, and physics simulations. Particularly interested in learning for control through differentiable simulation of complex physical systems.
Miscellany
- Served as a Teaching Assistant for 16-831: Intro to Robot Learning (Fall 2023 and Fall 2024).
