Papers
11
Total Citations
83
H-Index
5
About
Manuel Gentile is a leading researcher at the intersection of cognitive robotics, human-robot interaction, and AI ethics, whose work explores how robots can reason, learn, and interact with humans in socially meaningful ways. His most influential contribution is the development of storytelling robots—such as the Pepper and NAO platforms—that use the ACT-R cognitive architecture to manage persuasive techniques and ethical stances, as demonstrated in his highly cited 2021 study (25 citations). Gentile has also advanced the field of robot-assisted learning, showing that humanoid robots can improve spatial reasoning and support STEAM education through creative activities like dancing. His research on the Global Workspace Theory (11 citations) bridges cognitive science and robotics, while his work on "Design for Values" (9 citations) provides a framework for embedding ethical principles into social robot architectures. By integrating social practices and norms into robotic systems, Gentile is shaping how robots understand and participate in human social contexts. With over 80 total citations, his contributions are foundational for building robots that are not only intelligent but also ethically aware and socially competent—a critical step toward seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Editorial: Robot-Assisted Learning and Education13 citations · 2020
- 3
- 4Design for Values for Social Robot Architectures9 citations · 2018
- 5
- 6Social Practices based characters in a Robotic Storytelling System5 citations · 2020
- 7Improving Spatial Reasoning by Interacting with a Humanoid Robot4 citations · 2017
- 8
- 9E-MIP: a new mechanism for dynamic coalition formation in a robot team3 citations · 2004
- 10On the Pertinence of Social Practices for Social Robotics2 citations · 2018