About

Alexandre Bernardino is a prominent robotics researcher whose work spans cognitive robotics, human-robot interaction, and autonomous systems. Best known for his foundational contributions to the iCub humanoid robot platform — the open-systems research tool that has garnered over 600 citations and become a cornerstone of cognitive developmental robotics worldwide — Bernardino has helped shape how robots perceive, learn, and interact with their environments. A central theme of his research is the study of affordances: how robots can learn relationships between actions, objects, and effects through environmental interaction. His 2008 paper on learning object affordances (354 citations) and his comprehensive 2016 survey (164 citations) have established him as a leading authority in this field, bridging psychology, neuroscience, and robotics in remarkable ways. Bernardino's contributions extend into visual perception, including log-polar imaging and underwater mosaic-based navigation, as well as assistive robotics, where his work explores robotic coaching for elderly populations and soft tactile sensing. His research consistently bridges fundamental cognitive science with practical engineering applications, making him an influential figure for students and researchers working at the intersection of intelligent systems, human-robot interaction, and embodied cognition.

Research Focus

Key Achievements

27
H-Index
113
Papers
3,481
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
The iCub humanoid robot: An open-systems platform for research in cognitive development
606 citations · 2010
📈 Most Prolific Year: 2016 (10 Papers)
🤝 Key Collaborators: 187
🏛 Institutions: Instituto Superior Técnico, Instituto de Engenharia de Sistemas e Computadores Microsistemas e Nanotecnologias, University of Lisbon, Institute for Systems Engineering and Computers, Instituto Superior D. Dinis, INESC TEC

Top Papers

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Key Collaborators

Contact & Links

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