Zhe Chen
陈喆 • Postdoctoral Scientist, Amazon Robotics. Previously Monash University.

Amazon Robotics
North Reading, MA
I am a Postdoctoral Scientist at Amazon Robotics working on efficient motion planning and coordination of mobile robots in warehouse environments. My research focuses on Multi-Agent Path Finding (MAPF), Heuristic Search, and Planning algorithms that enable large teams of robots to coordinate seamlessly.
I received my PhD in Computer Science from Monash University in 2024, advised by Prof Daniel Harabor and Prof Peter Stuckey.
Research Interests
- Multi-Agent Path Finding: Developing scalable algorithms for coordinating large teams of robots
- Heuristic Search: Creating efficient search algorithms for path planning problems
- Planning and Scheduling: Designing algorithms that handle dynamic environments and uncertainties
- Traffic Flow Optimization: Optimizing robot movement in dense environments
- Real-time Planning: Developing algorithms that can adapt to changing conditions
My research has practical applications in warehouse robotics, autonomous vehicle coordination, and any scenario requiring efficient coordination of multiple autonomous agents. I am passionate about bridging the gap between theoretical advances and real-world deployment.
I actively contribute to the research community through organizing workshops (AAAI Workshop on Multi-Agent Path Finding), competitions (Grid-Based Path Planning Competition, League of Robot Runners), and serving on program committees for top-tier venues including AAAI, ICAPS, and SoCS.
System Demonstrations
My research translates into practical systems and tools. Here are demonstrations of some key projects:
A competitive platform for multi-agent path finding algorithms with real-time constraints and dynamic environments.
Visualization system showing real-time progress tracking and performance metrics for MAPF algorithms.
Our winning solution for the 2020 Flatland Challenge, demonstrating scalable train coordination in complex rail networks.
News
Feb 01, 2025 | Two Papers Accepted at AAAI 2025 |
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Jan 21, 2025 | Started my new position as Postdoctoral Scientist at Amazon Robotics! 🤖 |
Jan 15, 2025 | Organizing the AAAI-25 Workshop on Multi-Agent Path Finding (MAPF)! Join us for the latest advances in MAPF research. Workshop website |
Jun 18, 2024 | 🎓 Successfully defended my PhD thesis! Grateful to my advisors Daniel Harabor and Peter Stuckey, and excited for the next chapter at Amazon Robotics. |
Jun 01, 2024 | 🏆 Our League of Robot Runners competition received the ICAPS 2024 Best System Demonstration Award Honorable Mention! |
Feb 07, 2023 | Organizing the AAAI-23 Workshop on Multi-Agent Path Finding (MAPF)! Bringing together researchers to advance the field of multi-agent coordination. |
Selected publications
- Traffic Flow Optimisation for Lifelong Multi-Agent Path FindingIn Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024