معرفی
Jiaoyang Li is an Assistant Professor at Carnegie Mellon University's Robotics Institute. She earned her Ph.D. in Computer Science from the University of Southern California in 2022, advised by Sven Koenig, and her B.Eng. from Tsinghua University's Department of Automation.
- Research Interests: Multi-Agent Path Finding (MAPF), large-scale robot coordination, automated warehousing, multi-arm assembly systems, autonomous vehicle traffic management, and heuristic search algorithms.
- Key Research Areas: Foundations of MAPF, environment optimization for multi-agent systems, robust execution frameworks, learning-guided planning, and multi-arm coordination.
Scientific Contributions: She has published extensively in ICAPS, IJCAI, AAAI, and SoCS conferences. Her work includes award-winning solutions for the NeurIPS 2020 Flatland Challenge, which involved coordinating thousands of agents in railway systems.
- Notable Awards: ICAPS-24 Best Student Paper, IFAAMAS Victor Lesser Distinguished Dissertation Award, USC Stevens Best Dissertation Award, and multiple competition wins.
Leadership and Outreach: She has organized symposium tracks and workshops at ICAPS and AAMAS. Her research has practical applications in Amazon Robotics, airport taxiway planning, and real-time multi-robot execution systems.
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