Publications: 'Sampling-Based Planning for Autonomous Photography' (ICRA 2025), 'A Schwarz-Christoffel Mapping-based Framework for Sim-to-Real Transfer in Autonomous Robot Operations' (JINT), 'Next-Best-View-based Task and Motion Planning' (IROS23-TAMP Workshop), 'Epistemic Path Planning with Limited Communication' (ICRA23), 'Meta-Learning-based Proactive Planning' (RA-L), 'Resilient Robotic Swarms' (T-RO).
Research Experience
Research assistant at the AMR Lab and Link Lab, University of Virginia; Currently a robotics software engineer at DiDi Research America, working on behavior planning and decision-making systems for L4 self-driving cars.
Education
Ph.D., Department of Electrical and Computer Engineering, University of Virginia, supervised by Prof. Nicola Bezzo; Exchange student at UC Berkeley EECS for senior year of undergraduate; B.S. in Automation, Beijing Institute of Technology, Beijing, China.
Background
Research interests include adaptive motion and path planning, unmanned ground/aerial vehicles, transfer learning, and robotics system failure detection and recovery. Collaboration areas extend to autonomous inspection, robotic swarms, cyber-physical systems (CPS) security, and human-robot interaction (HRI).
Miscellany
An avid outdoor enthusiast, enjoying a wide variety of sports.