
Daniele De Martini
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.

Scaling Robotic Infrastructure: A Case Study in Orchestration
This research project, conducted in collaboration with Omniscient Innovations Ltd, Gompels Healthcare Ltd, and the Mobile Robotics Group (MRG), explored the transition from manual container orchestration to a configuration-driven deployment model for infrastructure-led robotics.
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Building-Scale Robot Navigation via a Relay of External Cameras
Most robotic navigation systems rely on a familiar stack: onboard sensors, carefully calibrated cameras, detailed maps, and expensive localisation pipelines. We wanted to explore the opposite direction: what happens if the robot itself becomes extremely simple, and the intelligence moves into the environment instead?
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