Gautam Salhotra
Robotics & AI Research
I am robotics reseacher at Intrinsic, working with Stefan Schaal. Previously, I completed my PhD in computer science (robotics) at the University of Southern California (USC), advised by Gaurav Sukhatme. My thesis was on learning visuomotor manipulation skills for robotic arms, using the methods of learning from demonstration (LfD) and Reinforcement Learning (RL). I have applied this primarily to dexterous manipulation such as cloth manipulation and precision assembly tasks. More broadly, I have worked on combining planning algorithms with learning to achieve greater autonomy for robots, with experience in object manipulation, control theory, and learning.
- Dexterous Robot Manipulation
- Deformable Objects
- Learning from Demonstrations
- Reinforcement Learning
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PhD in Computer Science (Robotics), 2024
University of Southern California
News
- Aug 2024 I founded the RASC Robotics Blog at USC.
- Jun 2024: I joined as a full time robotics researcher at Intrinsic LLC (Alphabet).
- Jan 2024: Our multi-organization collaborative effort on the Open X-Embodiment dataset and the RT-X family of models has been accepted to ICRA 2024.
- Dec 2023: I defended my PhD thesis.
- Sep 2023: USC Robotics Seminar (URoS) is now running every semester for robotics research talks from faculty, students, and postdocs.
- Aug 2023: Our paper on cross-embodied learning for deformable object manipulation has been accepted to CoRL 2023! See you in Atlanta!
- Jun 2023: Our paper on Learned Parameter Selection for Robotic Information Gathering has been accepted to IROS 2023! See you in Detroit!
- May 2023: I started as a PhD resident at Intrinsic LLC (Alphabet).
- Mar 2023: I completed my PhD thesis proposal.
- 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.
Selected Publications
See Google Scholar for a full list