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.