Papers

13

Total Citations

244

H-Index

7

About

Alice Geminiani is a robotics researcher whose work sits at the intersection of human-robot interaction, socially assistive robotics, and neurodevelopmental disorders. She is best known for her extensive contributions to the development and evaluation of robotic therapies for children with Autism Spectrum Disorder (ASD), a field she has helped advance through both foundational reviews and innovative system design. Her 2023 scoping review on robotics applications for ASD, cited 26 times, stands as one of the most comprehensive surveys of the field, while her 2021 robotic coaching platform paper (34 citations) introduced rigorous, quantitative frameworks for assessing social and cognitive skill development in therapeutic settings. Her most-cited work (90 citations) probes the psychological phenomenon of the Uncanny Valley through a multisite perceptual study, demonstrating her range beyond applied robotics into fundamental questions of human perception. Across her portfolio, Geminiani has pioneered gesture recognition algorithms, attention classifiers, and embodied mirroring games using humanoid robots such as NAO, translating computational tools into clinically meaningful interventions. Her forays into neuromorphic computing, including a spiking neural network controller for a robotic whisker system, further reveal a researcher driven by brain-inspired approaches to machine intelligence.

Research Focus

Key Achievements

7
H-Index
13
Papers
244
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley
90 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Politecnico di Milano, University of Pavia, Bioengineering Technology and Systems (Italy), Champalimaud Foundation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago