Max Robotics — Global Service Robot Directory + US Certification

About

Simon Bovet is a pioneering researcher in bio-inspired robotics, with a focus on tactile sensing, sensorimotor coordination, and autonomous learning. His most influential work includes the development of an active artificial whisker array modeled on the rat whisker system, which demonstrated how robots can use tactile sensors for texture discrimination and rich environmental interaction—a paper that has garnered 72 citations. Bovet’s research explores how coherent behaviors emerge from homogenous sensorimotor coupling, challenging traditional assumptions in robot control architectures. He has also investigated delayed reward learning through sensorimotor coordination, showing how autonomous agents can develop adaptive behaviors without pre-programmed reflexes. His work on the influence of tactile sensor morphology on behavior and control underscores the importance of physical design in robotic learning. Notable achievements include his contributions to self-developing robotic brains and legged locomotion, which highlight his commitment to creating robots that learn and adapt like biological systems. With a career marked by interdisciplinary innovation, Bovet’s research continues to inspire advances in autonomous robotics and embodied intelligence.