M. Maillard

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

M. Maillard is a researcher whose work sits at the intersection of cognitive science, robotics, and dynamical systems theory, with a particular focus on how perception and action are fundamentally intertwined. Their most-cited paper, "Perception as a Dynamical Sensori-Motor Attraction Basin" (2005, 24 citations), offers a groundbreaking framework that reimagines perception not as a passive reception of sensory data, but as an active, self-organizing process shaped by the agent's own movements. This work challenges traditional computational models by proposing that stable perceptual states emerge as attractors in a sensorimotor space, effectively bridging the gap between ecological psychology and modern robotics. Maillard’s contributions have been influential in the development of enactive and embodied approaches to artificial intelligence, inspiring new ways to design robots that learn through interaction rather than pre-programmed representations. While their citation count reflects a focused, conceptually rich body of work rather than broad popularity, the paper remains a touchstone for researchers exploring dynamical systems in cognition, and Maillard is recognized for providing a rigorous mathematical and philosophical foundation for understanding perception as a lived, embodied achievement.