A.R. Eikelboom

Papers

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About

A.R. Eikelboom is a leading scholar in the intersection of artificial intelligence, robotics, and defence operations. Their research focuses on the strategic integration of autonomous systems into military and security contexts, exploring how intelligent machines can cooperate effectively with human operators across multiple domains—land, air, sea, and cyber. Eikelboom’s most cited work, "How to Cooperate with Intelligent Machines: Lessons for Defence Operations from the Integration of AI and Robotics across Multiple Domains" (2018), provides a foundational framework for understanding the challenges and opportunities of human-machine teaming in high-stakes environments. This paper has garnered 4 citations, reflecting its early influence in a rapidly evolving field. By bridging the historical gap between AI and robotics, Eikelboom offers practical lessons for defence organizations adapting to technological disruption. Their work is notable for its forward-looking perspective, emphasizing cooperation rather than mere automation, and has implications for policy, ethics, and operational planning. For students and researchers, Eikelboom’s contributions illuminate the critical path toward safe, effective, and intelligent collaboration with machines in defence and beyond.