Papers
9
Total Citations
133
H-Index
7
About
Arnaud Blanchard is a pioneering researcher in developmental robotics and human-robot interaction, whose work bridges the gap between technical robotics and the subtle, affective bonds that make machines truly social. His most influential research explores how robots can form attachment bonds with humans, moving beyond superficial design to create machines that learn and adapt through natural, nonverbal interaction rhythms. In his highly cited 2006 paper (31 citations), Blanchard argued that for robots to integrate into everyday life, they must not be simply pre-designed but must develop through genuine interaction. He further demonstrated that the rhythm of nonverbal interaction can serve as a natural reinforcement signal for learning, a concept explored in his 2010 work (27 citations). A key achievement is his leadership in the HYDROïD project, designing a humanoid robot head with integrated perception and emotion capabilities (2016, 16 citations). Blanchard’s work also delves into the neural mechanisms of spatial perception, showing how multimodal integration—combining visual, auditory, and tactile information—is essential for a robot’s understanding of its world. With a career spanning foundational theories of imprinting and affective interaction to practical robotic design, Blanchard has established himself as a key figure in creating robots that are not just intelligent, but emotionally and socially competent.
Research Focus
Key Achievements
Top Papers
- 1ATTACHMENT BONDS FOR HUMAN-LIKE ROBOTS31 citations · 2006
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- 3From Imprinting to Adaptation : Building a History of Affective Interaction17 citations · 2005
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- 7Learning to Interact with the Caretaker: A Developmental Approach7 citations · 2007
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