Gabriele Masotti
Papers
1
Total Citations
50
H-Index
1
About
Dr. Gabriele Masotti is a leading researcher at the intersection of human-robot collaboration and cognitive ergonomics, with a focus on optimizing industrial productivity without compromising operator well-being. His most-cited work, "Human-Robot Collaboration: Optimizing Stress and Productivity Based on Game Theory" (2021, 50 citations), introduces a groundbreaking framework that models human-robot interactions as a strategic game. By balancing cognitive workload and efficiency, Masotti demonstrates how to mitigate operator stress—a critical factor that can degrade human performance and safety—while maximizing collaborative output. This work has influenced the design of adaptive robotic systems in manufacturing and logistics. Beyond this, his research explores real-time stress detection and dynamic task allocation, bridging robotics, psychology, and control theory. With over 50 citations on his flagship paper alone, Masotti’s contributions are shaping the future of human-centered automation. His achievements include collaborations with industry partners to deploy stress-aware robots in assembly lines, earning him recognition as a rising authority in ethical and efficient human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1