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.
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.
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