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About

Mathieu Sellier is a leading researcher in biomimetic robotics, with a primary focus on developing fish-inspired underwater robots that replicate the efficiency and maneuverability of biological swimmers. His most significant contributions center on the design, mathematical modeling, and performance optimization of tuna-mimetic robots, most notably the UC-Ika 1 platform. Sellier’s work on "The Kinematics and Dynamics of Undulatory Motion of a Tuna-Mimetic Robot" (33 citations) provides a foundational framework for understanding the four-degree-of-freedom swimming mechanics that enable efficient cruising. He has also advanced practical applications in robotics through investigations into non-contact adhesion mechanisms for wall-climbing robots (17 citations), demonstrating versatility beyond aquatic systems. His research on "Design, Fabrication, and Swimming Performance of a Free-Swimming Tuna-Mimetic Robot" (15 citations) showcases his ability to translate theoretical models into functional prototypes, achieving notable swimming performance. Sellier’s broader impact includes exploring multiple swimming gaits and efficiency-based optimization, addressing key challenges in robotic locomotion. With over 75 cumulative citations, his work bridges fluid dynamics, kinematics, and mechanical design, inspiring further innovation in autonomous underwater vehicles and biomimetic systems.