I am currently a Senior Researcher in the Autonomous Systems group at Microsoft. I focus on the development of safe and efficient perception/planning algorithms for robotics, through machine learning for perception-action loops, representation learning and bridging the simulation-reality gap.
I received my PhD from the Texas A&M University, where I was part of the Unmanned Systems Lab headed by Srikanth Saripalli. My PhD thesis focused on collaborative localization and uncertainty-aware navigation for groups of micro aerial vehicles. During my PhD, I also worked on applying computer vision and machine learning to autonomous aerial/ground vehicle research, medical robotics, and precision agriculture applications.
Prior to that, I received my MS from the Arizona State University. During these years, as part of the Extreme Environment Robotics Lab, I worked on the design and development of several robotic platforms and sensory networks. One of these robots played a role in the discovery of microbial life in Antarctic subglacial lakes.
- Robot Perception and Planning
- Machine Learning
- Computer Vision
- PhD (Robotics), 2019
Texas A&M University
- M.S. (Electrical Engineering), 2013
Arizona State University
- B.Tech. (Electrical Engineering), 2011
- Oct 2020: Preprint released for Adversarial Attacks on Optimization based Planners.
- Sep 2020: Our paper on safe deep control policies has been selected as a finalist for the Best Paper Award on Safety, Security and Rescue Robotics at IROS 2020.
- Jul 2020: Gave a Microsoft Research webinar on AirSim and autonomous systems research.
- Dec 2019: Game of Drones, a simulated autonomous drone racing competition hosted by our group took place at NeurIPS 2019.
- Aug 2019: Joined the Autonomous Systems group at Microsoft.
- May 2019: Preprint released for Collaborative Localization of Micro Aerial Vehicles.
- May 2019: Received my PhD degree from Texas A&M University.