Published multiple papers in international conferences such as ICML, CoRL, RSS, and ICRA, including 'SoftMimic: Learning Compliant Whole-body Control from Examples', 'Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation', etc., with open-source code available.
Research Experience
Conducted doctoral research at MIT's CSAIL, participating in various projects related to robot control and reinforcement learning.
Education
PhD: Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Advisor: Pulkit Agrawal; MEng: Massachusetts Institute of Technology (MIT), 2021; BS: Massachusetts Institute of Technology (MIT), 2020.
Background
Research Interests: Learned control as a component of complete robotic systems. Field: Computer Science and Artificial Intelligence.