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About

Thibaut Gaudin is a leading researcher in the fields of human-robot interaction, affective computing, and procedural animation. His work centers on bridging the gap between human movement and artificial systems, with a particular focus on how robots and virtual characters can perceive, express, and replicate human-like motion. Gaudin’s major contributions include a landmark systematic review on emotion expression through body posture and movement, which has garnered 20 citations and serves as a foundational resource for researchers seeking to quantify and reproduce affective motion. He also pioneered the use of virtual reality to identify key subjective criteria—such as base inertia and velocity profiles—that determine the perceived human-likeness of robot movements, a study cited 15 times for its practical impact on robot design. Additionally, Gaudin developed a fully procedural method for generating real-time locomotion in multilegged characters within dynamic environments, a technical achievement cited 12 times for its innovation in eliminating reliance on pre-recorded motion data. Through these contributions, Gaudin has significantly advanced our understanding of how to make artificial agents move in ways that are both expressive and intuitively recognizable to humans.