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Field
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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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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
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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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for three years. The project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing
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of safety-critical domains such as medicine and robotics. Communication for AI applications in sensitive domains such as medicine and robotics requires the highest levels of security and data protection