McLain

Papers

Total Citations

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About

McLain’s research centers on multi-robot systems, autonomous coordination, and the challenges of managing decentralized teams in dynamic environments. A key contribution is his work on balancing robot autonomy with human oversight, particularly through field experiments that reveal how real-world constraints—such as communication delays and sensor noise—affect team performance. His 2007 paper, “Managing autonomy in robot teams: Observations from four experiments,” distills critical lessons from multiple trials, showing that adaptive autonomy levels can significantly improve mission efficiency. This work has garnered 20 citations and remains a foundational reference for researchers designing human-robot collaboration frameworks. McLain’s studies have practical implications for search-and-rescue, exploration, and military operations, where robot teams must operate with limited human intervention. His insights into the trade-offs between full autonomy and teleoperation continue to influence both academic research and applied robotics. By grounding theoretical models in empirical data, McLain has helped shape the design of more resilient, flexible robot teams—making his contributions essential reading for students and engineers working on autonomous systems.