Papers

8

Total Citations

205

H-Index

7

About

Grazia Trubia is a pioneering researcher at the intersection of robotics, artificial intelligence, and clinical therapy for neurodevelopmental disorders. Her work focuses on developing and evaluating robot-assisted therapy (RAT) for children with Autism Spectrum Disorder (ASD) and co-occurring Intellectual Disability (ID)—a population often overlooked in prior robotics research. Trubia’s major contributions include designing deep learning systems to estimate visual attention during therapy sessions (90 citations) and demonstrating that humanoid robots can effectively stimulate imitation and social interaction in clinical settings. Her empirical studies, such as the pilot study on imitation (48 citations) and the CARER-AID project, provide rigorous evidence that socially assistive robots can serve as supervised autonomous assistants, supporting practitioners in education and clinical care. Trubia’s work uniquely addresses the heterogeneity of ASD by adapting robotic interventions for different levels of intellectual disability, ensuring personalized treatment. With over 200 total citations, her research has laid critical groundwork for integrating robotics into standard therapeutic practice, offering scalable tools to enhance social communication and emotional recognition in children with complex needs.

Research Focus

Key Achievements

7
H-Index
8
Papers
205
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning Systems for Estimating Visual Attention in Robot-Assisted Therapy of Children with Autism and Intellectual Disability
90 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Oasi Maria SS, Osato Research Institute, Istituti di Ricovero e Cura a Carattere Scientifico

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago