I’m a Planning and Control Engineer at Zoox. Prior to joining Zoox, I was a Post Doctoral Scholar at the University of Southern California in the Robotics Embedded Systems Lab (RESL) under supervision of Prof. Gaurav Sukhatme. I finished my PhD at Arizona State University in the Autonomous Collective System Lab (ACS) under supervision of Dr. Spring Berman. While at ASU, I worked on developing strategies for mapping environmental features of interest – specifically obstacles, collision-free paths, generating a metric map and estimating scalar density fields– in an unknown domain using data obtained by a swarm of resource constrained robots. Currently at RESL, I’m mostly involved with the development of mathematical models of sub-network failures, e.g., how the failure of one agent leads to a whole sub-network failure, and the design of reliable topologies which mitigates the effects of the failure on the team task performance. However, I have very broad interests in the fields of multi-robot systems, control theory and applied differential geometry. More recently, I have been investigating the application of differential geometry and manifold learning on motion planning. I have evaluated my work on many different platforms such as Crazyfiles, Turtlebot3 Burger and Pheeno.
Before joining ASU, I studied Civil Engineering at National institue of Technology Calicut (NITC). In May 2011, I graduated from NITC obtaining a Bachelor of Technology degree. I worked at Gammon India for a few months after obtaining my undergraduate degree in Civil engineering.
Outside my research I spend time reading, listening to music, playing chess, learning topics in Physics, playing Badminton and watching movies.
PhD in Mechanical Engineering, 2018
Arizona State University
M.S in Mechanical Engineering, 2018
Arizona State University
B.Tech in Civil Engineering, 2011
National Institute of Technology Calicut, India
Defending a given perimeter using a team of robots
Motion planning on a sequence of Manifolds.
Resilience in multi-robot system under task considerations.
Mapping an environment using a swarm of robots.
A phase oscillator based suit.