Edoardo Spadolini
Papers
2
Total Citations
78
H-Index
2
About
Edoardo Spadolini is a leading researcher at the intersection of social robotics and affective computing, with a primary focus on enhancing child–robot interaction. His work is dedicated to making robots more perceptive and responsive to human emotional states, particularly in educational and therapeutic contexts. Spadolini’s most cited paper (2020, 61 citations) introduces the "Mio Amico Robot," a system designed to interpret a child’s engagement level during interaction, enabling the robot to adapt its behavior for more natural, human-like communication. He further advanced this field by pioneering the use of thermal imaging for affective computing in educational robots (2019, 17 citations), a novel approach that allows robots to detect emotional cues without intrusive sensors. By addressing the critical challenge of achieving genuine affective interaction, Spadolini’s contributions are laying the groundwork for more empathetic and effective social robots. His work is particularly notable for its practical application in child development and special needs education, where understanding a child’s non-verbal cues is paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2Thermal Imaging Based Affective Computing for Educational Robot17 citations · 2019