Gautam Salhotra

Gautam Salhotra

PhD in robotics

University of Southern California

I am a PhD in computer science (robotics) at the University of Southern California (USC), advised by Prof. Gaurav Sukhatme. My thesis is 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 two application domains: 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.

Download my résumé (2 page) and CV (full).

  • Robot Manipulation
  • Deformable Objects
  • Learning from Demonstrations
  • Reinforcement Learning
  • MSc in Computer Science (Robotics & Perception), 2018

    Georgia Tech

  • MSc in Mechanical Engineering (Control Theory), 2012

    University of Texas at Austin

  • Mechanical Engineering, 2010

    Indian Institute of Technology Bombay (IIT Bombay)


Selected Publications

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(2023). Learning Robot Manipulation from Cross-Morphology Demonstration. In CoRL 2023.

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(2022). Learning Deformable Object Manipulation from Expert Demonstrations. In IEEE RA-L, IROS ‘22.

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(2022). Guided Learning of Robust Hurdling Policies with Curricular Trajectory Optimization. In SoCal Robotics Symposium ‘22.

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(2021). Adaptive Sampling using POMDPs with Domain-Specific Considerations. In ICRA ‘21.

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(2020). Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. In CoRL ‘20.

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