Matteo Capponi
Papers
12
Total Citations
194
H-Index
6
About
Matteo Capponi is an emerging researcher at the forefront of human-robot collaboration (HRC) and human factors in manufacturing, with a particular focus on the cognitive and psychophysical dimensions of working alongside collaborative robots in industrial settings. His work sits at the intersection of ergonomics, cognitive science, and production engineering, addressing one of the defining challenges of Industry 5.0: ensuring that automation genuinely supports human well-being rather than undermining it. Capponi's most influential contributions—each accumulating 47 citations—examine how repetitive assembly processes affect workers' psychophysical states and cognitive performance when paired with robotic systems, establishing rigorous experimental frameworks for measuring these often-overlooked human dimensions. His research extends to assembly complexity modeling, eye-tracking integration for performance monitoring, augmented reality interfaces, and the novel application of gamification in manufacturing environments. A particularly creative methodological contribution applies Thurstone's law of comparative judgement to quantify perceived assembly complexity (23 citations). With a total citation count approaching 200 across just a handful of years, Capponi's scholarship is gaining rapid recognition. His human-centered lens offers students and practitioners a valuable corrective to purely technical approaches to robotics, making his work essential reading for anyone navigating the evolving landscape of collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10