I am a PhD candidate in computer science (robotics) at the University of Southern California (USC), advised by Prof. Gaurav Sukhatme. Broadly, I work on combining planning algorithms with learning to achieve greater autonomy for robots, with experience in object manipulation, control theory, and deep reinforcement learning.
Download my résumé (2 page) and CV (full).
MSc in Computer Science (Robotics & Perception), 2018
MSc in Mechanical Engineering (Control Theory), 2012
University of Texas at Austin
Mechanical Engineering, 2010
Indian Institute of Technology Bombay (IIT Bombay)
Oct 2022: I presented our work on learning deformable object manipulation from expert demonstrations at IROS 2022 and the workshop on RObotic MAnipulation of Deformable Objects (ROMADO-SI).
Sep 2022: Two papers will be presented at the Southern California Robotics Symposium 2022.
Jun - Sep 2022: I will be an Applied Scientist intern at Amazon Robotics.
Jun 2022: Our paper on learning deformable object manipulation from expert demonstrations has been accepted to both IEEE RA-L and IEEE IROS 2022. See you in Kyoto! (Website || RA-L link)
May 2022: I presented our work on learning deformable object manipulation from expert demonstrations at the 2nd workshop on deformable object manipulation at ICRA 2022 in Philadelphia. (Website || PDF || Video)
Mar 2021: Our paper on adaptive sampling with POMDPs for environmental monitoring has been accepted to ICRA 2021! (PDF)
See Google Scholar for a full list