Samuele Vinanzi
University of Manchester, Sheffield Hallam University, University of Plymouth
Papers
13
Total Citations
208
H-Index
7
About
Samuele Vinanzi is a robotics and artificial intelligence researcher whose work sits at the intersection of cognitive science, social robotics, and human-robot interaction. His research focuses primarily on endowing robots with human-like social cognition — particularly the capacities for trust modeling, intention reading, and theory of mind — to enable more natural and effective collaboration between humans and machines. Vinanzi's most influential contribution, "Would a Robot Trust You?" (2019, 107 citations), pioneered a developmental robotics framework for modeling trust, establishing him as a leading voice on robot acceptability and reliability. His subsequent work expanded this foundation by integrating intention reading with trust as dual pillars of human-robot collaboration, and by developing computational approaches — including Bayesian theory of mind and dynamical posture clustering — that allow robots to infer human goals and beliefs in real time. His CASPER cognitive architecture (2024) represents a synthesis of these efforts, providing a unified system for social perception and autonomous engagement. More recently, he has tackled false belief understanding and mental state transparency in collaborative settings. With work spanning healthcare robotics, cybersecurity, and even live musical performance, Vinanzi demonstrates a remarkably broad yet coherent vision: building robots that genuinely understand the humans they serve.
Research Focus
Key Achievements
Top Papers
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- 4The Role of Social Cues for Goal Disambiguation in Human-Robot Cooperation14 citations · 2020
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