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De Martini Daniele

University of Oxford · Electrical Engineering
segmentation Daniele’s research focuses on creating intelligent autonomous robots that can work with or for humans scene understanding including mapping localisation detection using different sensing technologies – from vision to laser to radar –

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Daniele De Martini is Associate Professor of Engineering Science at the University of Oxford, affiliated with the Oxford Robotics Institute and the Oxford e-Research Centre. He is also Tutorial Fellow at Keble College. His research focuses on creating intelligent, autonomous robots that can work with or for humans, mainly by applying Artificial Intelligence (AI) techniques. He has worked on navigation and scene understanding, including mapping and localisation, detection, and segmentation, using different sensing technologies – from vision to laser to radar – and in diverse environments and conditions. His group explores how robots can reliably navigate and interpret the world, even in challenging or extreme conditions. Another key aspect of his work examines robotics–infrastructure interaction, enabling dynamic sharing of sensing and computing resources between robots and smart environments to support safe and scalable autonomy.

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