Giovanni Mirabelli
Papers
3
Total Citations
66
H-Index
3
About
Giovanni Mirabelli is at the forefront of redefining smart manufacturing through human-robot collaboration (HRC). His research focuses on three interconnected pillars: real-time emotional intelligence in collaborative tasks, the integration of digital twins for human-robot dyads, and optimizing task allocation to balance productivity with operator well-being. In his highly cited 2022 work on real-time emotion detection, Mirabelli pioneered methods to enable robots to sense and respond to workers’ affective states, fostering more natural and efficient human-robot interactions—a contribution that has garnered 30 citations. His subsequent review on digital twins for HRC (20 citations) mapped out critical design principles for virtual replicas that enhance collaboration. Most recently, his 2024 simulation-based approach to task allocation (16 citations) demonstrated how to simultaneously boost operator productivity and ergonomics in Industry 4.0 environments. Mirabelli’s work directly addresses the challenge of making automation not only efficient but also human-centric, earning him recognition as a key voice in the evolution of collaborative manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3