Sumeet Singh


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. During the summer of 2018, I was a research scientist intern with DeepMind Applied in Mountain View, California.


PhD Defense 

I recently passed my PhD defense. Click on photo for video link. Additional quadrotor videos can be found here.

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, WAFR).

  • 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 (IJRR, TAC, RSS).

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


Invited Talks

  • May, 2019: ICRA 2019 Workshop: Toward Online Optimal Control of Dynamic Robots

  • May, 2019: ICME Xpo Research Symposium, Stanford University

  • May, 2019: MIT CSAIL

  • Apr, 2019: CITRIS/CPAR Control Theory and Automation Symposium, UC Berkeley

  • Apr, 2019: Google Brain Robotics (NYC)

  • Apr, 2019: USC Electrical and Computer Engineering

  • Mar, 2019: AAAI Spring Symposium - Verification of Neural Networks, Stanford University

  • Mar, 2019: MIT Mechanical Engineering

  • Oct, 2018: Stanford Robotics Seminar

  • Aug, 2018: UC Berkeley Semi-Autonomous Group

  • Feb, 2017: MIT CSAIL Robotics Seminar