Papers

15

Total Citations

258

H-Index

8

About

Mirko Gelsomini is a leading researcher in child-robot interaction, specializing in the design of social robots for children with neurodevelopmental disorders (NDD). His work focuses on creating huggable, mobile, and emotionally responsive robotic companions—such as Teo, Puffy, and ELE—that support therapeutic and educational interventions. Gelsomini’s most cited paper, “Telling Stories to Robots” (101 citations), investigates how robots can decode children’s speaking and listening behaviors to become engaging conversational partners. He also developed the Backchannel Opportunity Prediction model, enabling robots to produce contingent listener responses that deeply engage young storytellers. His contributions include the KROG project, blending full-body interaction with large screens and robots for children with intellectual disabilities. Gelsomini’s designs, co-created with therapists and educators, have been recognized for their unique soft, inflatable, and configurable features that promote safe, playful interaction. With over 200 cumulative citations, his work has significantly advanced the field of assistive robotics, demonstrating how empathetic, adaptive robots can foster communication, learning, and social engagement in vulnerable populations.

Research Focus

Key Achievements

8
H-Index
15
Papers
258
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Telling Stories to Robots
101 citations · 2017
📈 Most Prolific Year: 2017 (7 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Massachusetts Institute of Technology, Politecnico di Milano, Human Media

Top Papers

  1. 1
    Telling Stories to Robots
    101 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago