USC (PhD candidate in Robotics)
5+ years work experience (mostly algorithmic robotics)
Georgia Tech (MS Comp Sci, Robotics)
UT Austin (MS Mech Engg, Controls)
IIT Bombay (Mech Engg)
I am a PhD candidate in computer science (robotics & machine learning) at the University of Southern California (USC), advised by 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.
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! (RA-L link)
May 2022: I presented our work on learning deformable manipulation from expert demonstrations at the 2nd workshop on deformable object manipulation at ICRA 2022 in Philadelphia. (PDF, video)
Jan 2022: I have accepted an internship at Amazon Robotics this summer.
May 2021: Chaired ICRA 2021 session on "Field Robotics: Control".
Mar 2021: Our paper on adaptive sampling with POMDPs for environmental monitoring has been accepted to ICRA 2021! (PDF)
Feb 2021: Our paper on planning for large-scale exploration in the real world has been accepted to ICAPS 2021! This is part of an ongoing collaboration with NASA JPL and Caltech for the SubT challenge. (PDF).
Oct 2020: Our paper on augmenting reinforcement learning algorithms with motion planning has been accepted to CoRL 2020! See you at CoRL! (PDF, website).
See my Google Scholar profile or CV for a full list.