Papers
3
Total Citations
115
H-Index
3
About
Anand K. Gramopadhye is a leading figure in human factors engineering, with key research spanning human-robot interaction, manufacturing optimization, and engineering education. His most cited work, "Human adaptation to latency in teleoperated multi-robot human-agent search and rescue teams" (2018, 73 citations), explores how operators adapt to communication delays when controlling multiple robots in critical search-and-rescue missions—a foundational contribution to improving human-agent team performance under stress. Earlier, he developed "A general mathematical model for optimizing NC tool path for face milling of flat convex polygonal surfaces" (1990, 38 citations), providing a pioneering framework for maximizing metal removal rates in manufacturing by decoupling tool path selection from process parameters. Gramopadhye also advanced engineering pedagogy through his multi-disciplinary mechatronics course at Clemson University, integrating theory with hands-on laboratory activities to foster collaborative problem-solving. His work bridges cognitive ergonomics, automation, and industrial efficiency, demonstrating lasting impact on both academic research and practical system design. With over 100 publications and numerous funded projects, Gramopadhye continues to shape how humans and machines work together in complex, high-stakes environments.
Research Focus
Key Achievements
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