Anamaria Ciocan
Papers
1
Total Citations
57
H-Index
1
About
Anamaria Ciocan’s research lies at the intersection of human-robot interaction, assistive technologies, and developmental robotics, with a particular focus on supporting children with Autism Spectrum Disorder (ASD). Her most impactful contribution is the DREAM Dataset, a landmark resource that underpins data-driven studies of Robot Enhanced Therapy (RET). This dataset, drawn from a large-scale evaluation involving 61 children, over 3,000 therapy sessions, and more than 300 hours of therapy, has garnered 57 citations since 2020. By making this rich repository of behavioral data publicly available, Ciocan has enabled researchers worldwide to analyze and improve how robots can facilitate social and communication skills in ASD therapy. Her work not only advances the technical design of autonomous robotic systems but also provides empirical evidence for their efficacy in real-world clinical settings. Through the DREAM project, she has helped bridge robotics and healthcare, offering a scalable, data-driven approach to personalized therapy. Ciocan’s contributions are pivotal for students and researchers exploring how intelligent systems can meaningfully augment human care, making her a key figure in the growing field of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1