Max Robotics — Global Service Robot Directory + US Certification

About

Marie Claire Capolei is a robotics and computational neuroscience researcher whose work sits at the compelling intersection of biological neural systems and autonomous robot control. She is best known for her pioneering contributions to cerebellar-inspired control architectures, developing biomimetic systems that enable humanoid and quadruped robots to adapt dynamically to unpredictable environments. Her most cited work, "A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation" (2019, 25 citations), demonstrates how internal models derived from cerebellar neuroscience can endow robots with robust, real-time adaptability — a long-standing challenge in the field. Alongside related biomimetic studies (23 citations) and evolutionary locomotion strategies for quadruped robots (17 citations), Capolei has established a coherent research vision: bridging neurobiology and robotics to create more capable, resilient machines. Her work extends into medical robotics, with notable contributions to laparoscopic camera control using industrial robot arms (11 citations) and teleoperated systems in dynamic environments. Her simulation studies on spiking cerebellar models further underline her commitment to understanding motor learning at a fundamental level, making her research both theoretically rich and practically impactful across multiple robotics domains.