F Andrea Bussolan
University of Applied Sciences and Arts of Southern Switzerland
Papers
1
Total Citations
2
H-Index
1
About
F. Andrea Bussolan is a pioneering researcher at the intersection of human-robot interaction, federated learning, and Industry 5.0, with a focus on enhancing worker well-being through adaptive automation. Their most cited work, “Personalized Mental State Evaluation in Human-Robot Interaction using Federated Learning” (2025, 2 citations), introduces a novel framework that leverages privacy-preserving machine learning to assess and respond to human stress in real-time collaborative settings. This contribution is foundational to stress-aware Human-Robot Collaboration (HRC), enabling robots to dynamically adjust their behavior based on individual mental states—a critical step toward human-centric manufacturing. Bussolan’s research addresses the dual challenge of mass customization and worker welfare, proposing scalable solutions that respect data privacy while improving collaboration fluency. Though early in its citation trajectory, this work has already garnered attention for its practical implications in smart factories and assistive robotics. Bussolan’s achievements underscore a commitment to ethical AI and human-centered design, positioning them as a rising voice in the future of work. Their interdisciplinary approach offers a blueprint for integrating mental health considerations into industrial automation.
Research Focus
Key Achievements
Top Papers
- 1