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).
- Robot manipulation
- Deformable Objects
- Learning & Optimization
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MSc in Computer Science (Robotics & Perception), 2018
Georgia Tech
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MSc in Mechanical Engineering (Control Theory), 2012
University of Texas at Austin
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Mechanical Engineering, 2010
Indian Institute of Technology Bombay (IIT Bombay)
News
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Sep 2023 USC Robotics Seminar (URoS) is back for regular seminars from USC researchers this Fall.
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Aug 2023 Our paper on cross-embodied learning for deformable object manipulation has been accepted to CoRL 2023! See you in Atlanta!
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Jun 2023 Our paper on Learned Parameter Selection for Robotic Information Gathering has been accepted to IROS 2023! See you in Detroit!
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May 2023 I started as a PhD resident at Intrinsic LLC (Alphabet).
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Mar 2023: I completed my PhD thesis proposal.
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Feb 2023: I am organizing the USC Robotics Seminar (URoS) along with Prof. Somil Bansal, a monthly seminar for all robotics researchers at USC to present and discuss their work.
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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).
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Sep 2022: Two papers will be presented at the Southern California Robotics Symposium 2022.
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Jun - Sep 2022: I will be an Applied Scientist intern at Amazon Robotics.
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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)
Selected Publications
See Google Scholar for a full list