Mathieu Geisert is a Senior Control Expert and robotics software engineer with 11 years of experience designing motion control, planning, estimation and learning algorithms for holonomic and nonholonomic wheeled platforms, UAVs, quadrupeds and humanoids. He combines a PhD in Robotics with hands-on integration and field-testing experience—from lab prototypes to deployed robots—most recently shaping control at Agility Robotics and now at Rhoda AI in Palo Alto. His work spans optimal control and machine learning, with notable system-level demos that emphasize real-world robustness (see recent videos). Comfortable bridging research and product, he repeatedly turns advanced motion-generation theory into reliable code on real hardware. An understated strength is his track record of shipping cross-disciplinary solutions that marry estimation and control for agile, contact-rich behaviors.
11 years of coding experience
11 years of employment as a software developer
Master of Engineering (MEng), Aerospace, Master of Engineering (MEng), Aerospace at ISAE-SUPAERO
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at INSA Toulouse - Institut National des Sciences Appliquées de Toulouse
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