Biography
Daniele De Martini is Associate Professor in Mobile Robotics at the Oxford Robotics Institute and the Oxford e-Research Centre, University of Oxford, and Tutorial Fellow in Engineering Science at Keble College. He co-leads the Mobile Robotics Group alongside Professor Paul Newman. His research combines robotics and artificial intelligence to design autonomous systems capable of perception, mapping, localisation, and adaptive decision-making. By exploiting multiple sensing modalities—from vision to lidar to radar—his group explores how robots can reliably navigate and interpret the world, even in challenging or extreme conditions. Daniele has deployed robots in environments ranging from urban Oxford to the Scottish Highlands. 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.
Research Interests
Daniele’s 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 – from central Oxford to snowy Highlands.
Another prominent research interest is in the interplay of robotics and smart infrastructures to allow sensing and computing to be shared and elastically allocated for safe operation.
