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Ron van Hoof is a pioneering researcher in human-agent teamwork, adjustable autonomy, and multiagent systems, with a distinguished focus on applying these technologies to space exploration. His most influential work, "Human-Agent Teamwork and Adjustable Autonomy in Practice" (2021, 105 citations), established a human-centered framework for understanding how autonomous agents and humans collaborate effectively — a significant departure from purely autonomy-centered approaches dominant in the field. Building on decades of consistent inquiry, his 2003 interim report on space applications (90 citations) demonstrated the practical viability of adjustable autonomy in demanding real-world environments. A hallmark of van Hoof's research is his sustained development and application of the Brahms multiagent language, which he has used to model complex human-robotic systems for lunar and planetary surface operations — integrating space suits, all-terrain vehicles, robotic assistants, and remote mission support teams. His NASA Mobile Agents Architecture further showcased the power of distributed, agent-based systems for planetary exploration. With cumulative citations exceeding 250, van Hoof's work has meaningfully shaped how researchers and engineers conceptualize teamwork-centered autonomy, making him a foundational voice at the intersection of artificial intelligence, robotics, and human factors in space science.