About

Paolo Spagnolo is a leading researcher at the intersection of assistive robotics, computer vision, and multi-agent systems. His work is defined by a commitment to developing intelligent, distributed technologies that enhance human capabilities—particularly for individuals with autism spectrum conditions (ASC) and the elderly. Spagnolo’s most impactful contribution is his pioneering research on robot-based interventions for children with ASC. His 2021 study on emotional expression training, cited 37 times, demonstrated that humanoid robots can significantly improve facial emotion recognition and expression in children with autism, offering a more engaging alternative to traditional computer-based therapies. He also developed novel methods for automatic joint attention detection during human-robot interaction, a critical metric for evaluating therapeutic progress. Beyond social robotics, Spagnolo has made substantial contributions to active surveillance and ambient assisted living, designing distributed heterogeneous sensor networks and multi-agent systems that intelligently monitor dynamic environments and human activities. His work on visual object tracking with deep neural networks and human action recognition with transformers further underscores his expertise in applying cutting-edge AI to real-world sensing challenges. Through his integrated approach, Spagnolo is shaping a future where robotic and sensor networks actively support human health, development, and independence.

Research Focus

Key Achievements

5
H-Index
8
Papers
81
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Emotional Expression in Children With ASD: A Pre-Study on a Two-Group Pre-Post-Test Design Comparing Robot-Based and Computer-Based Training
37 citations · 2021
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: National Research Council, Institute of Intelligent Systems for Automation, Istituto Nazionale di Ottica, University of Salento, National Academies of Sciences, Engineering, and Medicine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago