Sumeet Singh

Bio

Sumeet Singh 

I am a Ph.D. candidate in the Autonomous Systems Lab in the Aeronautics and Astronautics Department at Stanford. I received a B.Eng. in Mechanical Engineering and a Diploma of Music (Performance) from University of Melbourne in 2012, and a M.Sc. in Aeronautics and Astronautics from Stanford University in 2015. Prior to joining Stanford, I worked in the Berkeley Micromechanical Analysis and Design lab at University of California Berkeley in 2011 and the Aeromechanics Branch at NASA Ames in 2013.

Research Overview

My current research interests are:

  • Robust motion planning for constrained nonlinear systems: Design of nonlinear control and planning algorithms for online generation of robust motion plans with guaranteed margins of safety for constrained robotic systems in cluttered environments (ICRA, 2).

  • Risk-sensitive inference and decision-making: Development and analysis of flexible risk-sensitive human behavior models and the design of stochastic control algorithms leveraging these models within a risk-sensitive dynamic game framework (3, 4, 5).

  • Control-Theoretic Model-based Reinforcement Learning: Infusing model-based reinforcement learning algorithms with concepts drawn from nonlinear control theory, such as stabilizability and robustness (6).

Invited Talks

  • Nov 8, 2018: Stanford Robotics Seminar

  • Aug 31, 2018: UC Berkeley

  • Feb 14, 2017: MIT CSAIL Robotics Seminar

Contact

Email: ssingh19@stanford.edu