Summary
Gabriel Garcia is an AI & Controls engineer and researcher with 11 years in control, robotics, and mechatronics, specializing in nonlinear control, model-based robotics, and legged systems. He has over four years of hands-on experience deploying control and estimation software to hardware and is currently applying reinforcement learning and locomanipulation algorithms to bipedal robots at Wandercraft. His background spans academia and industry—from research at IHMC and Virginia Tech to teaching advanced control and robotics courses—bridging theory and implementation. Gabriel has tackled diverse applied projects (MPC for electric axles, pseudospectral optimal control, and locomotion for crawling robots) as a consultant, showing strong optimization and simulation skills. Notably, he contributed remotely to HyQ locomotion research at Istituto Italiano di Tecnologia despite visa constraints, demonstrating persistence and international collaboration. Based in Pensacola with an MS from Virginia Tech and a BS in Mechatronics, he blends rigorous research with practical deployment on real robotic platforms.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering at National University of Engineering
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Virginia Tech
English, Spanish, French