I am currently a researcher in the Autonomous Systems group at Microsoft. I focus on the development of efficient perception and planning algorithms for robotics, particularly through robust neural networks, 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. I also worked on applying computer vision and machine learning to autonomous aerial/ground vehicle research and medical robotics 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 various robotic platforms and sensory networks.
- 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
- Mar 2020: Preprint released for AirSim Drone Racing Lab, a simulation framework aimed at facilitating autonomous drone racing 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.
- Oct 2018: Presented two papers at IROS 2018.
- Jun 2018: Presented one paper at ICUAS 2018.
- May 2018: Presented one paper at the 74th annual AHS Forum.
- May 2018: Presented one paper at ICRA 2018.