Paper 'Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences' won the best student paper award at ICAPS-24; Paper 'Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree' was selected as the finalist for the MRS-23 Best Paper; Published multiple papers in IJCAI-24, SoCS-24, and other international conferences; Received the ICAPS-23 Best Dissertation Award.
Research Experience
Currently an assistant professor at the Robotics Institute, Carnegie Mellon University. Organized multiple tracks and symposiums in international conferences, such as the System Demonstration track at ICAPS-24, the 17th International Symposium on Combinatorial Search (SoCS), etc.
Education
Received B.Eng. degree from the Department of Automation, School of Information Science and Technology, Tsinghua University in 2017; Ph.D. in Computer Science from the University of Southern California in 2022, advised by Professor Sven Koenig.
Background
Currently an assistant professor at the Robotics Institute, Carnegie Mellon University. Research interests include a variety of topics related to Artificial Intelligence and optimization, such as combinatorial algorithms, heuristic search, scheduling, and planning for robotics and transportation. Current research focuses on the coordination of large teams of mobile robots.
Miscellany
Always looking for self-motivated students at all levels and encourages undergraduate students to apply to CMU’s RISS program.