Christopher Leet

University of Southern California

Papers

2

Total Citations

19

H-Index

2

About

Christopher Leet is a rising leader in the field of multi-agent robotics, with a focused expertise on scalable, robust, and persistent Multi-Agent Path Finding (MAPF) and its application to large-scale automated warehouses. His major contribution is the development of the "Shard Systems" framework, a novel MAPF solver that uniquely integrates scalability, robustness, and persistence with formal performance guarantees—a critical advancement for modern multi-agent robotic systems operating in dynamic, real-world environments. This work, published in 2022, has already garnered 14 citations, signaling its foundational impact. Leet further addresses the pressing industrial challenge of million-product workloads in his 2023 paper on the Warehouse Servicing Problem (WSP), where he tackles the complex integration of task assignment, scheduling, and motion planning for teams of mobile robots. This research, with 5 citations, directly targets the efficiency bottlenecks of next-generation logistics. Through these contributions, Leet is establishing himself as a key figure in bridging theoretical MAPF guarantees with practical, high-throughput automation, making his work essential reading for researchers and engineers in robotics and operations research.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Southern California

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago