John P. Murphy

Papers

Total Citations

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About

John P. Murphy’s research centers on the cooperative control of autonomous mobile robots, with a particular focus on multi-robot systems operating in dynamic, unknown, and resource-constrained environments. His most significant contribution is the development of artificial potential function (APF) control for high-speed nonholonomic robots, a method that allows multiple robots to coordinate formation without explicit leader-follower assignments or pre-defined positions. This work, published in 2008 and his most cited paper with 15 citations, offers a more flexible and scalable approach to formation control. Murphy also advanced the field by addressing the critical challenge of wheel-terrain interaction in his 2006 work on cooperative control in unknown terrain, where he modeled the significant vehicle dynamics of high-speed robots to improve performance on variable surfaces. Additionally, his 2007 paper on computational resource allocation tackled the practical constraints of limited communication and processing bandwidth, using his custom robot test bed, the Dynabot, to characterize these information bottlenecks. Though his citation counts are modest, Murphy’s contributions are foundational for researchers working on the intersection of control theory, robotics, and real-time systems, particularly for teams of fast-moving robots in unstructured environments.