Michele Nappi

University of Salerno

Papers

3

Total Citations

86

H-Index

3

About

Michele Nappi is a leading researcher at the intersection of computer vision, human-robot interaction, and ambient assisted living. His work focuses on enabling more natural and intuitive communication between humans and machines, with a particular emphasis on head pose estimation and social robotics. His highly cited survey, "Head Pose Estimation: An Extensive Survey on Recent Techniques and Applications" (2022, 49 citations), provides a comprehensive roadmap for this critical area of computer vision. Nappi’s research extends into the practical deployment of these technologies, as demonstrated in "DTPAAL: Digital Twinning Pepper and Ambient Assisted Living" (2021, 34 citations), where he explores the use of the humanoid robot Pepper to create digital twins for assisted living environments. He also investigates the future of tactile and emotional interaction in "Waiting for Tactile: Robotic and Virtual Experiences in the Fog" (2021). By combining robust sensing and real-time environmental awareness with emotionally expressive robots, Nappi’s work is paving the way for more empathetic and effective assistive technologies, directly impacting how robots can support aging populations and enhance daily life.

Research Focus

Key Achievements

3
H-Index
3
Papers
86
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Head pose estimation: An extensive survey on recent techniques and applications
49 citations · 2022
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Salerno

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago