Luca Mastrogiacomo
Papers
26
Total Citations
826
H-Index
14
About
Luca Mastrogiacomo is a prominent researcher whose work sits at the intersection of human-robot collaboration (HRC), industrial ergonomics, and advanced manufacturing systems. His scholarship has profoundly shaped how the field understands the human dimensions of collaborative robotics, particularly within the evolving frameworks of Industry 4.0 and Industry 5.0. Mastrogiacomo's most influential contribution, a 2020 conceptual framework for evaluating human-robot collaboration (224 citations), established foundational thinking for assessing HRC systems in industrial contexts. His earlier work on precision measurement — notably a 2011 experimental comparison of iGPS and laser tracker dynamic tracking performance (122 citations) — demonstrated his versatility across engineering domains. His more recent research delves deeply into the psychophysiological and cognitive impacts of working alongside robots, exploring how stress, learning effects, assembly complexity, and affective computing shape operator wellbeing and performance. Papers examining physiological responses, user experience, and cognitive ergonomics in HRC have collectively garnered hundreds of citations, underscoring their relevance to both academia and industry. Mastrogiacomo has also advanced practical cobot deployment through cost modeling frameworks, helping decision-makers evaluate collaborative robot implementation. With over 680 citations across his most recognized works, his research meaningfully bridges engineering rigor and human-centered design, making him an essential voice in the future of intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1A conceptual framework to evaluate human-robot collaboration224 citations · 2020
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