Greetings! I am a PhD student in the department of Computer Science at Stanford University. I am co-advised by Prof. Mykel Kochenderfer at the Stanford Intelligent Systems Laboratory and Prof. Jeannette Bohg at the Interactive Perception and Robot Learning Lab. I am generally interested in sequential decision-making problems for robotics. In particular, I am interested in algorithms for problems that are dynamic, i.e. fast-changing, and multimodal, i.e. requiring multiple kinds of decisions. One particular domain of application is multimodal routing for autonomous systems. This work enables smaller autonomous vehicles to use larger ones as modes of transportation for increased energy-efficiency and resilience (like drones piggybacking on cars in this simulation video from my work).
I received an MS degree in Robotics from the Robotics Institute of Carnegie Mellon University. I was a member of the Personal Robotics Lab and was advised by Prof. Siddhartha Srinivasa (who is currently at the University of Washington in Seattle). At CMU, I worked primarily on anytime sampling-based geometric motion planning. My work was validated and tested on HERB (the Home Exploring Robotic Butler), our lab's robot and research platform. Additionally, I contributed to several layers of the lab's software stack. Prior to joining CMU, I graduated with a B.Tech degree in Computer Science and Engineering from the Indian Institute of Technology Kharagpur. I worked with Prof. Partha Pratim Chakrabarti for my undergraduate thesis, which looked at aspects of optimal course allocation.