Francesco Semeraro
University of Manchester, Scuola Superiore Sant'Anna, Piaggio (Italy), Piaggio Aerospace (Italy)
Papers
10
Total Citations
544
H-Index
5
About
Francesco Semeraro is a leading researcher at the intersection of human-robot collaboration (HRC), social robotics, and affective computing. His work centers on enabling robots to perceive and respond to human emotional and physiological states, with the goal of creating more intuitive, trustworthy, and effective collaborative systems. Semeraro’s most impactful contribution is a comprehensive systematic review on human-robot collaboration and machine learning, which has garnered over 300 citations, establishing a foundational reference for the field. He has pioneered the use of physiological wireless sensor networks and unsupervised machine learning to classify human moods and emotions—key for enhancing human-robot interaction in real-world settings. His research extends to multi-user scenarios, developing architectures like TriHRCBot for triadic collaboration and exploring how robot responsiveness affects workload and trust among multiple human partners. With a growing body of work that bridges emotion modelling, deep learning, and the Internet of Robotic Things, Semeraro is shaping the future of socially aware and collaborative robots that can seamlessly work alongside people in manufacturing, healthcare, and everyday life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Emotion Modelling for Social Robotics Applications: A Review135 citations · 2018
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- 4Mood classification through physiological parameters16 citations · 2019
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