Francesco Mancusi
Papers
1
Total Citations
9
H-Index
1
About
Francesco Mancusi is a researcher whose work lies at the intersection of human factors engineering and advanced manufacturing, with a particular focus on the integration of collaborative robotics in industrial settings. His key research areas include mental fatigue assessment, human-robot interaction, and ergonomics in assembly lines. Mancusi’s major contribution is the development of a methodological framework to objectively evaluate cognitive strain in workers collaborating with robots, a critical step toward safer and more efficient hybrid workspaces. His most-cited paper, “A Methodological Framework to Assess Mental Fatigue in Assembly Lines with a Collaborative Robot” (2023), has garnered 9 citations, reflecting its timely relevance as industries increasingly adopt automation. This work provides practical tools for measuring mental workload, enabling real-time adjustments to tasks and robot behavior. Mancusi’s research is notable for bridging the gap between theoretical ergonomics and applied industrial engineering, offering actionable insights for designing human-centered collaborative systems. His findings are particularly valuable for students and researchers exploring the cognitive demands of Industry 4.0, as they highlight the importance of balancing productivity with worker well-being.
Research Focus
Key Achievements
Top Papers
- 1