Francesco Vezzi is a Robotics Software Engineer at Stellantis since April 2023, specializing in sensor fusion robotics algorithms and advanced HD-maps management architecture for high-precision vehicle localization. Previously, Francesco conducted a Master Thesis Project at Technische Universiteit Delft, focusing on using Deep Reinforcement Learning to train a bio-inspired quadruped for navigation in challenging environments, employing a novel method that combines Evolutionary Strategies with Deep Reinforcement Learning. Francesco holds a Master's degree in Robotics and Automation Engineering, awarded with honors from Università di Pisa, and a Bachelor's degree in Management Engineering, also awarded with honors from the same institution.
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