James McDonough
Papers
1
Total Citations
25
H-Index
1
About
James McDonough is a leading researcher in multi-robot systems and human-robot teaming, with a focus on adjustable autonomy frameworks that enable seamless collaboration between humans and heterogeneous robotic teams. His most cited work, the "Multiagent Adjustable Autonomy Framework (MAAF)" (2008, 25 citations), addresses the critical challenge of dynamically balancing control between human operators and autonomous agents during complex tactical maneuvers. This foundational research, developed under an SBIR Phase I project, provides a structured approach for heterogeneous teams to adapt their autonomy levels in real-time, enhancing mission effectiveness and safety. McDonough's contributions are particularly influential in defense and emergency response domains, where multi-robot, multi-human coordination is essential. His work has laid the groundwork for subsequent advances in adjustable autonomy, influencing both theoretical frameworks and practical implementations in field robotics. By tackling the core tension between human oversight and machine independence, McDonough has helped shape how researchers and engineers design resilient, adaptive teams for high-stakes environments.
Research Focus
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Top Papers
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