Mathieu Warnier

Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes

Papers

Total Citations

446

H-Index

About

Mathieu Warnier is a robotics and artificial intelligence researcher whose work centers on the cognitive and decisional challenges of human-robot interaction (HRI). His research explores how autonomous robots can perceive, reason about, and respond to complex social environments shared with humans — a domain that pushes the boundaries of classical AI. Warnier's most influential contribution, "Artificial Cognition for Social Human–Robot Interaction: An Implementation" (2016), has garnered 381 citations and stands as a landmark work in the field, offering a comprehensive framework for equipping robots with the cognitive architecture needed to navigate dynamic, semantically rich environments. Complementing this, his earlier work on spatio-temporal reasoning and perspective-taking — notably "When the Robot Puts Itself in Your Shoes" (2012) — demonstrates his pioneering focus on enabling robots to model human beliefs about the world, a critical capacity for genuine collaborative interaction. His 2011 paper further establishes his commitment to implementing both individual and cooperative robot skills in realistic human-shared spaces. Across his publications, Warnier consistently bridges theoretical AI with practical implementation, making his research particularly valuable for students and engineers designing the next generation of socially aware, cognitively capable robotic systems.