Nuno Costa
Papers
1
Total Citations
22
H-Index
1
About
Nuno Costa is a leading researcher at the intersection of human factors and advanced robotics, with a primary focus on human–robot collaboration (HRC) and occupational ergonomics. His work addresses the critical challenge of integrating robots into industrial and service environments while ensuring worker safety, well-being, and optimal performance. Costa’s most cited contribution, a 2025 systematic literature review on capturing mental workload through physiological sensors in HRC, has already garnered 22 citations, underscoring its timely impact. This seminal work synthesizes cutting-edge methods for monitoring cognitive load—using sensors like EEG, heart rate monitors, and eye-tracking—to design adaptive, human-centered robotic systems. By bridging the gap between physiological data and real-time robot behavior, Costa provides a roadmap for reducing operator stress and preventing errors in collaborative tasks. His research is pivotal for industries adopting Industry 5.0 principles, where human–robot synergy is paramount. Costa’s achievements include advancing non-invasive sensing techniques and proposing frameworks that balance productivity with mental health. For students and researchers, his work offers a compelling blueprint for creating safer, more intuitive human–robot teams, making him a key figure in the future of work.
Research Focus
Key Achievements
Top Papers
- 1