Francesco Gissi
Papers
2
Total Citations
19
H-Index
2
About
Francesco Gissi is a researcher at the forefront of industrial ergonomics and human-robot collaboration, with a focus on preventing work-related musculoskeletal disorders (WMSDs) through cutting-edge technology. His work centers on developing automated ergonomic risk assessment systems that leverage 3D human pose estimation, computer vision, and machine learning to analyze workplace movements in real time. Gissi’s most cited paper (2024, 17 citations) introduces a system that integrates collaborative robots with pose estimation to dynamically assess and mitigate ergonomic risks, marking a significant advance in Industry 4.0 safety. His subsequent 2023 work refines this approach by calculating joint angles from digital imagery, improving accuracy in risk evaluation. By bridging artificial intelligence and occupational health, Gissi’s contributions enable proactive, data-driven interventions that reduce injury rates and enhance worker well-being. His research is particularly notable for its practical application in smart manufacturing environments, where it empowers collaborative robots to adapt to human movement. With a growing citation impact, Gissi is shaping the future of safe, human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2