Patrick H. Washington

Vaughn College of Aeronautics and Technology, Stanford University

Papers

Total Citations

H-Index

About

Patrick H. Washington is a leading researcher in multirobot systems, with a primary focus on distributed task assignment and optimization. His work addresses the critical challenge of coordinating teams of autonomous robots to efficiently allocate and execute tasks without centralized control. Washington’s major contribution lies in pioneering the application of the consensus alternating direction method of multipliers (C-ADMM) to multirobot task assignment, as demonstrated in his most-cited paper, "Distributed Multirobot Task Assignment via Consensus ADMM" (2023, 47 citations). This work provides a rigorous mathematical framework for solving complex assignment problems in a distributed manner, enabling robots to reach consensus on task allocation through local communication. His earlier paper, "Consensus-Based ADMM for Task Assignment in Multi-robot Teams" (2022, 12 citations), laid the groundwork for this approach, establishing him as a key innovator in the field. Washington’s research has significant implications for applications such as search-and-rescue, warehouse automation, and environmental monitoring, where scalable, decentralized coordination is essential. With a growing citation record, his work is shaping the future of autonomous multirobot collaboration.