Papers
226
Total Citations
6,303
H-Index
37
About
Angelo Cangelosi is a pioneering figure in developmental robotics, cognitive systems, and human-robot interaction, whose work has fundamentally shaped how researchers think about machine learning, embodied cognition, and the intersection of robotics with human development. Based at the University of Manchester, Cangelosi has devoted his career to understanding how robots can learn in ways that mirror children's cognitive development — a framework he has championed through his landmark contributions to developmental robotics, most notably his widely adopted 2015 book and associated publications (collectively amassing over 500 citations). His influential 2022 systematic review of human-robot collaboration (301 citations) reflects his growing engagement with real-world applications of intelligent robotics. Cangelosi has also made significant strides in grounded cognition, exploring how language and action knowledge become integrated in embodied agents, and in affordance theory across psychology, neuroscience, and robotics (164 citations). His early work on the open-source iCub simulator helped democratize cognitive robotics research globally. More recently, he has extended his reach into AI's role in education (185 citations), demonstrating a consistent commitment to translating fundamental research into broader societal benefit. With over 1,800 citations across his most impactful papers alone, Cangelosi stands as one of the field's most consequential voices.
Research Focus
Key Achievements
Top Papers
- 1
- 2Developmental Robotics: From Babies to Robots273 citations · 2015
- 3Developmental Robotics252 citations · 2015
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- 7An open-source simulator for cognitive robotics research169 citations · 2008
- 8
- 9Affordances in Psychology, Neuroscience, and Robotics: A Survey164 citations · 2016
- 10