Anton Dukeman

Papers

Total Citations

H-Index

About

Anton Dukeman’s research lies at the intersection of multi-agent systems, autonomous robotics, and collaborative mission planning. His work addresses a fundamental challenge in the field: enabling teams of robots or autonomous agents to coordinate effectively without relying on rigid, preprogrammed behaviors. Dukeman’s most influential paper, “Hybrid mission planning with coalition formation” (2017), which has garnered 15 citations, introduces a novel framework that dynamically forms coalitions of agents to tackle complex tasks, balancing computational efficiency with real-world adaptability. This approach moves beyond traditional control paradigms that depend on preplanned movements, offering a more flexible solution for multirobot systems. In his earlier work, “Extensible collaborative autonomy using GAMS” (2016), Dukeman developed a modular architecture that allows agents to share and adapt their autonomy, paving the way for scalable, interoperable systems. As the cost of multi-agent technology continues to drop, Dukeman’s contributions are increasingly vital for applications ranging from search-and-rescue to environmental monitoring, making him a key figure in the push toward truly autonomous, collaborative robotics.