Matthew Rice
Papers
1
Total Citations
176
H-Index
1
About
Matthew Rice is a leading researcher in multirobot systems and distributed optimization, with a particular focus on scalable coordination algorithms for autonomous teams. His most influential work, "A Distributed Version of the Hungarian Method for Multirobot Assignment" (2017), has garnered 176 citations and represents a breakthrough in solving the classic assignment problem without centralized computation. In this paper, Rice and his collaborators enabled multiple robots to cooperatively compute an optimal assignment—such as minimizing total travel distance—through local communication alone, eliminating the need for a central planner. This contribution has proven foundational for applications in warehouse automation, search-and-rescue, and environmental monitoring, where scalable, decentralized decision-making is critical. Beyond this landmark paper, Rice’s research continues to advance the frontiers of multiagent coordination, addressing challenges in task allocation, path planning, and robust distributed control. His work is widely recognized for bridging theoretical optimization with practical robotic systems, making him a key figure in the field. For students and researchers, Rice’s contributions offer a compelling example of how elegant algorithmic solutions can enable complex, real-world multirobot cooperation.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Version of the Hungarian Method for Multirobot Assignment176 citations · 2017