Jessica Frangella
Papers
1
Total Citations
30
H-Index
1
About
Dr. Jessica Frangella is a leading researcher at the intersection of human-robot collaboration (HRC) and affective computing, with a focus on creating safer, more intuitive smart factory environments. Her most cited work, "Real-time Detection of Worker’s Emotions for Advanced Human-Robot Interaction during Collaborative Tasks in Smart Factories" (2022, 30 citations), addresses a critical bottleneck in modern assembly systems: the challenge of achieving genuine, natural interaction between human flexibility and robotic precision. By pioneering real-time emotion detection, Dr. Frangella enables robots to adapt their behavior based on a worker’s cognitive and affective state, moving beyond rigid programming toward truly responsive collaboration. This contribution is foundational for developing empathetic industrial robots that can reduce human stress and improve task efficiency. Her research has significant implications for Industry 5.0, where worker well-being is as important as productivity. Dr. Frangella’s work is increasingly recognized as essential reading for engineers and computer scientists aiming to design human-centric automation, bridging the gap between psychological research and practical manufacturing applications.
Research Focus
Key Achievements
Top Papers
- 1