Sean Maxon

Georgia Institute of Technology, University of Macau

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About

Sean Maxon’s research lies at the intersection of marine robotics, autonomous navigation, and networked control systems, with a focus on enabling robots to operate reliably in dynamic, unstructured environments. His most impactful work, “Controller performance of marine robots in reminiscent oil surveys” (2012, 15 citations), addresses a critical real-world challenge: deploying autonomous marine robots to survey regions polluted by crude oil during the Deepwater Horizon spill. Maxon developed a class of path-following and formation controllers that allow robots to track lines and curves while maintaining collective formation—a breakthrough for environmental monitoring and disaster response. He further advanced autonomous systems with “Autopilot design of a class of miniature autonomous blimps enabled by switched controllers” (2022, 5 citations), extending control theory to lighter-than-air platforms. In “Extending a routing protocol for mobile robot mesh networking” (2017, 2 citations), Maxon tackled the problem of highly dynamic routing topologies in mobile ad hoc networks, where rapidly changing link qualities degrade performance. His work demonstrates a commitment to bridging control theory and practical deployment, with applications ranging from oil spill remediation to resilient multi-robot communication.