Anne-Laure Mealier
Inserm, Institut Cellule Souche et Cerveau, Institut des Sciences Cognitives
Papers
4
Total Citations
110
H-Index
4
About
Anne-Laure Mealier is a pioneering researcher in cognitive robotics, exploring how robots can acquire, organize, and express knowledge about the world and themselves. Her work lies at the intersection of artificial intelligence, developmental psychology, and human-robot interaction, with a focus on biologically grounded cognitive architectures. Her most influential contribution is the DAC-h3 cognitive architecture, introduced in a 2017 paper (74 citations), which enables humanoid robots to engage in proactive, mixed-initiative exploration—where both human and robot can take the lead in learning and manipulating their environment. Mealier also investigates how narrative structures shape self-experience and communication, as demonstrated in her work on narrative constructions for organizing experience (22 citations) and learning narrative function words (6 citations). Her research extends to practical applications, including a user-centered system for sharing cooperative plan knowledge during spaceflight operations (8 citations), highlighting the potential for robots to collaborate with astronauts on the ISS. Through these contributions, Mealier advances our understanding of how robots can learn, reason, and communicate in human-like ways, bridging the gap between cognitive science and embodied robotics.
Research Focus
Key Achievements
Top Papers
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