Apoorva Sharma is a graduate student in the Aeronautics and Astronautics department. Prior to studying at Stanford, he received a BS in Engineering at Harvey Mudd College in 2016. At Harvey Mudd College, he worked on trajectory planning for autonomous underwater vehicles under supervision of Professor Chris Clark in the Lab for Autonomous and Intelligent Robotics.
Apoorva’s research interests are in the intersection of machine learning, control theory, and planning. His current work focuses on robust and adaptive methods for planning under uncertainty.