Papers
2
Total Citations
48
H-Index
2
About
Damien Gerardeaux-Viret is a researcher in developmental robotics, focusing on how humanoid robots can learn about objects and their affordances through active exploration and social interaction. His work bridges perception, manipulation, and cognitive architecture to enable robots to acquire knowledge progressively, much like human infants. A key contribution is his foundational role in the MACSi project, where he co-designed a cognitive architecture that allows humanoids like the iCub to learn object recognition through curiosity-driven manipulation—a paper that has garnered 27 citations. His 2012 study on perception and human interaction for developmental learning (21 citations) further established this architecture, demonstrating how robots can expand their action and knowledge repertoires by interacting with both objects and human caregivers. Gerardeaux-Viret’s research is notable for its integration of embodied cognition and social learning, offering a pathway toward more autonomous and adaptable robotic systems. His work has been presented to international audiences and remains influential in the developmental robotics community, inspiring subsequent studies on lifelong learning and human-robot collaboration.
Research Focus
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