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Field
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Agriculture Your research will focus on the convergence of advanced data science and IoRT (Internet of Robotic Things) to foster Sustainable Agriculture and define efficient low input practices. We are seeking
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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aspects of machine learning focusing on efficiency, generalization, and sparse neural networks. Currently we are expanding our expertise by applying our theoretical findings also to robotics. Hybrid is our
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spread of corrosion. Thus, long-term 3D mapping and change detection is of great interest for remote maintenance. Previous research at the Oxford Robotics Institute has developed a real-time 3D LIDAR
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leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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liquid and solid, is also at the basis for many innovations such as 3D printing, biological tissue engineering, and robotics. Sound waves, and their associated “radiation pressure,” can apply average
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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competence at the RCA - Circular Economy, Ecological Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities