Elyon DeKoven

Papers

Total Citations

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About

Elyon DeKoven’s research lies at the critical intersection of human-robot interaction, adjustable autonomy, and command-and-control systems for military robotics. His work addresses a fundamental challenge: how to enable a single human operator to effectively manage multiple unmanned ground and aerial vehicles in complex, high-stakes environments. DeKoven’s major contribution is the development of frameworks that dynamically adjust the autonomy level of robotic assets—shifting control between human and machine based on mission context, operator workload, and system capability. His 2005 paper, “Integrating adjustable autonomy in an intelligent control framework” (6 citations), laid the groundwork for this approach, while his 2006 follow-up, “A deontic implementation of adjustable autonomy for command and control of robotic assets” (4 citations), introduced a novel deontic logic and Joint Intention Theory to govern team coordination. In “A Framework for Supporting Teamwork between Humans and Autonomous Systems” (2 citations), DeKoven extended these ideas to human-robotic teams, emphasizing shared objectives and coordinated action. Though his citation counts are modest, his work is foundational for researchers in military robotics and human-autonomy teaming, offering principled solutions to the pressing problem of scalable, trustworthy human-robot collaboration in future combat scenarios.