Summary
Antoine Pirrone is an R&D engineer and PhD in computer science specializing in computer vision and deep learning, currently developing the vision system for the Reachy robot at Pollen Robotics. His doctoral work applied deep learning to the reconstruction of ancient papyri, blending cultural heritage challenges with cutting-edge image processing. With 11 years of experience across academia and industry, he also taught at Université de Bordeaux and completed a CNRS PhD, grounding his product work in rigorous research. Active in robotics competition since 2016 as a core member of Team Rhoban, he has helped secure five RoboCup humanoid kid-size titles, demonstrating practical systems design under real-world constraints. Based in Bordeaux, he brings a rare mix of museum-grade restoration techniques, hands-on robotic vision engineering, and competition-proven system integration.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Bordeaux