Davide Lisciani
Papers
1
Total Citations
61
H-Index
1
About
Davide Lisciani is a leading researcher in social robotics and child-robot interaction, with a focus on developing robots that can perceive and respond to human emotional states. His most-cited work, "Facilitating the Child–Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot" (2020, 61 citations), introduces a groundbreaking framework for enabling robots to autonomously gauge a child’s engagement levels during interaction. By integrating affective computing and real-time behavioral analysis, Lisciani’s research addresses one of the central challenges in human-robot interaction: achieving natural, human-like communication. His contributions have significant implications for educational and therapeutic robotics, where sustained engagement is critical. Through the Mio Amico Robot platform, Lisciani demonstrates how socially aware robots can adapt their behavior to maintain a child’s interest, paving the way for more intuitive and empathetic robotic companions. His work continues to influence the design of interactive systems that bridge the gap between artificial intelligence and genuine social connection.
Research Focus
Key Achievements
Top Papers
- 1