Paul Maxwell

Colorado State University, United States Military Academy

Papers

Total Citations

H-Index

About

Paul Maxwell is a researcher focused on the intersection of robotics, resource allocation, and multi-agent systems, with a particular emphasis on applications in chaotic, time-sensitive environments such as post-disaster search and rescue. His work explores how robotic teams can be coordinated effectively under uncertainty, drawing on principles from robust resource management and human-robot interaction. Maxwell’s most cited paper, "The ISTeC People-Animals-Robots Laboratory: Robust Resource Allocation" (2009, 3 citations), outlines foundational concepts for the PAR Laboratory, emphasizing adaptive strategies for deploying robotic assets in dynamic settings. He also contributed to the critical area of military robotics with his 2013 proposal for standardizing benchmarking of robotic convoys, a paper that identifies the need for rigorous, repeatable evaluation methods to compare emerging multi-robot systems. Though his citation counts are modest, Maxwell’s work addresses pressing challenges in real-world robotics—namely, how to design systems that are both robust and verifiable. His efforts to establish benchmarking protocols have implications for both academic research and defense applications, positioning him as a thoughtful contributor to the practical advancement of autonomous multi-robot coordination.