Christopher Gilliam

Papers

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About

Christopher Gilliam is a researcher whose work lies at the intersection of autonomous systems, environmental sensing, and intelligent trajectory planning. His key research areas include decentralized multi-agent coordination, hazardous source localization in turbulent flows, and dynamic path planning for autonomous underwater vehicles (AUVs). His most-cited paper, "Decentralised multi-platform search for a hazardous source in a turbulent flow" (2019, 28 citations), presents a novel approach for coordinating multiple platforms to locate a hazardous source in complex, turbulent environments—a critical contribution to environmental monitoring and disaster response. In another notable work, "Dynamic Target Driven Trajectory Planning using RRT" (2019, 5 citations), Gilliam addresses the challenge of planning trajectories for AUVs returning to a moving recovery vessel, using only passive angle-only sensors. This work demonstrates his ability to solve real-world, sensor-limited navigation problems. Through these contributions, Gilliam has advanced the field of autonomous robotics, particularly in scenarios requiring robust, decentralized decision-making under uncertainty. His research continues to impact areas such as marine robotics, environmental surveillance, and multi-agent systems, making him a valuable voice in the autonomous systems community.