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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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on solving challenges at the interface of Synthetic Biology, Control Engineering, AI, and Robotics, and their application to global challenges across biotechnology. The approaches taken will depend
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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We are working on creating a new type of Radio-Frequency Integrated Circuit technology based on optically induced plasmas in silicon to create photo-conductive switches. This combines low-cost
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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molecules to cross. However, this method does not overcome the mucus barrier. This project will investigate which mechanical stimulus, delivered actively and under control, best moves a drug across the
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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From electric vehicles to grid-scale energy storage, the future of clean energy relies on breakthroughs in battery technology. This PhD will develop cutting-edge terahertz spectroscopy methods
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construction that enables efficient and low-carbon fabrication under factory-controlled conditions that optimise material mix designs, energy use and curing conditions. Tunnels and shafts, typically 5-25m in