Susanna Pelagatti
Papers
2
Total Citations
23
H-Index
2
About
Susanna Pelagatti’s research bridges the gap between distributed robotics and assistive technologies, with a particular focus on improving quality of life for individuals with Autism Spectrum Disorder (ASD). Her foundational work on a general-purpose distributed learning model for robotic ecologies (2012, 13 citations) established frameworks for adaptive, multi-robot systems that can learn and collaborate in complex environments. More recently, she has turned her expertise toward the transformative potential of Information and Communication Technologies (ICT) in healthcare. Her 2023 survey on technological tools and systems for ASD diagnosis and therapy (10 citations) provides a comprehensive analysis of how customized software, emotion recognition systems, and social behavior tools can support individuals on the spectrum. This work highlights her commitment to translating technical innovation into real-world impact, addressing critical needs in communication and social interaction. Pelagatti’s contributions demonstrate a rare ability to span both theoretical robotics and applied human-centered computing, making her work valuable to researchers in distributed AI, assistive technology, and clinical intervention design. Her growing citation record reflects the increasing relevance of her interdisciplinary approach.
Research Focus
Key Achievements
Top Papers
- 1A General Purpose Distributed Learning Model for Robotic Ecologies13 citations · 2012
- 2