Mattia Racca
Papers
10
Total Citations
235
H-Index
8
About
Mattia Racca is a leading researcher in human-robot interaction, specializing in participatory design, robot learning from demonstration, and assistive robotics. His major contributions include developing the "Social Robot Co-Design Canvases," a pioneering framework that facilitates multidisciplinary collaboration in designing social robots—a tool that has garnered 79 citations and is reshaping how engineering, psychology, and design teams work together. Racca's work on learning in-contact control strategies from demonstration (57 citations) addresses the critical challenge of teaching robots to perform tasks like pulling a door handle, bridging the gap between human intuition and robotic precision. He has also made significant strides in assistive technology, notably through a participatory design process for a robotic tutor of sign language for children with autism spectrum disorder (27 citations), demonstrating the potential of robots in therapeutic education. His research on active robot learning (17 and 13 citations) and transparent robot policies (12 citations) further underscores his impact, with over 200 total citations. Racca's achievements include advancing human-aware cognitive architectures and interactive robot programming, making him a key figure in creating robots that are not only functional but also intuitive and socially integrated.
Research Focus
Key Achievements
Top Papers
- 1Social Robot Co-Design Canvases: A Participatory Design Framework79 citations · 2021
- 2Learning in-contact control strategies from demonstration57 citations · 2016
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- 4Active Robot Learning for Temporal Task Models17 citations · 2018
- 5Teacher-Aware Active Robot Learning13 citations · 2019
- 6Autonomous Generation of Robust and Focused Explanations for Robot Policies12 citations · 2019
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