Dr. Gonzalo Garcia

Dr. Garcia is actively engaged in a diverse range of research activities within the realm of autonomous vehicles and robots, encompassing experimental, theoretical, and modeling and simulation work. His primary focus is developing advanced algorithms for guiding and controlling various autonomous vehicles. With a strong background in control engineering, he specializes in crafting cutting-edge solutions for achieving optimal, robust, nonlinear, predictive, and adaptive control in complex systems. Notably, Dr. Garcia is currently delving into the fields of reinforcement learning to enhance robot maneuvering capabilities and explore the integration of computer vision in the field of artificial intelligence. Dr. Garcia was a control engineer and researcher in FAU OME’s Knifebot project. He designed and tested optimal control laws, including deep reinforcement learning, for an underwater biomimicking robot, trajectory tracking, and fin kinematics. Dr. Garcia designed and tested deep reinforcement learning for a spherical robot for position tracking during his stay at PUCV and developed online algorithms for detecting, identifying, and tracking persons in a train station based on AI computer vision. Dr. Garcia designed flight control systems for fixed-wing and quadrotors, including robust and optimal approaches.