Professor Of Machine Learning And Robotics at Imperial College London
London, England, United Kingdom
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Summary
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Senior
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Top School
Antoine Cully is Professor of Machine Learning and Robotics at Imperial College London and director of the Adaptive & Intelligent Robotics Lab, with 11 years of academic experience focused on improving robot adaptivity, versatility, and autonomy. He leads research that blends creative AI and ML methods to produce state-of-the-art advances in Quality-Diversity optimization, open-endedness, and world models. His career progressed through successive academic ranks at Imperial, underscoring a track record of translating evolutionary and learning algorithms into practical robot damage-recovery and adaptive systems. Trained as an engineer in robotics at Polytech Sorbonne and Sorbonne University, he combines strong theoretical foundations with hands-on experimental platforms (including early work on a robotic cane for the elderly). Colleagues know him for thinking “outside the box,” pursuing open-ended solutions rather than single-purpose controllers, and for scaling ideas from internships to influential lab-wide tools. Based in London, he remains active at the intersection of creative AI research and real-world robotic resilience.
12 years of coding experience
7 years of employment as a software developer
Engineer's degree in Robotics, ROBOTIQUE, Head of the class, Engineer's degree in Robotics, ROBOTIQUE, Head of the class at Polytech Sorbonne
Classe Prepa, PTSI-PT*, Classe Prepa, PTSI-PT* at Lycée Couffignal
Master's degree, advanced systems and robotics, Head of the class, Master's degree, advanced systems and robotics, Head of the class at Sorbonne University
Bac S option SI/Math, Science de l'ingénieur, Mention Très bien, Bac S option SI/Math, Science de l'ingénieur, Mention Très bien at Lycée Pierre Lagourgue
Contributions:39 commits, 1 PR, 23 pushes in 7 months
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