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About

Thierry Hoinville is a leading researcher in neurorobotics and biomimetic locomotion, whose work bridges neuroscience and engineering to create adaptive, animal-inspired robotic systems. His most significant contribution is the development of **Walknet**, a bio-inspired artificial neural network controller for hexapod walking, which has garnered **168 citations**. Walknet successfully simulates a wide range of behavioral data from stick insects and has been validated through kinematic and dynamic simulations, as well as on multiple six-legged robots, establishing a foundational framework for insect-like robotic locomotion. Hoinville’s research focuses on **integrative biomimetics**, as highlighted in his highly cited 2019 work (53 citations), which addresses the critical challenge of unifying disparate concepts from neuroscience and engineering to achieve autonomous hexapedal locomotion. He has also pioneered the study of **homeostatic mechanisms** in evolved neural controllers (2005, 12 citations) and explored **plastic neural networks** for flexible, multistable behavior generation (2011, 8 citations). His notable achievements include the design of the **HexaQuaBip robot**, a reconfigurable platform inspired by the morphologies of six-, four-, and two-legged animals, and the development of **vibration-based robotic antennae** for tactile contour sampling. Hoinville’s work is essential reading for students and researchers interested in evolutionary robotics, adaptive locomotion, and the seamless integration of biological principles into robotic design.