Leonard A. Breslow
Papers
1
Total Citations
31
H-Index
1
About
Leonard A. Breslow’s research lies at the intersection of human-robot interaction, cognitive engineering, and supervisory control, with a focus on optimizing the performance of single-human-multiple-robot systems. His most cited work, “Dynamic Operator Overload: A Model for Predicting Workload During Supervisory Control” (2014, 31 citations), builds on foundational concepts like fan-out—a measure of the maximum number of robots a single operator can supervise—to develop predictive models of operator workload. This contribution is critical for designing scalable, efficient human-robot teams, particularly in domains like disaster response and military operations. Breslow’s work is notable for its practical impact: by modeling how cognitive load fluctuates with task demands, his research helps engineers create interfaces that prevent operator overload and improve system reliability. His achievements include advancing the theoretical understanding of dynamic workload allocation and influencing the design of real-world supervisory control systems. For students and researchers, Breslow’s work offers a rigorous framework for tackling the challenges of human-autonomy teaming, making him a key figure in the evolving field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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