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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology The growing field of soft robotics has unlocked new possibilities for robotic systems to navigate uncertain and
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UK Atomic Energy Authority and University of Nottingham sponsored PhD scholarship – Extra-long compliant snake robot capable of self-localization for inspection in fusion power plants Rolls-Royce
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Technology at the University of Nottingham. This project is in relation to the technical needs of Rolls-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas
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. At the Rolls-Royce UTC, we have developed advanced robotic systems capable of navigating cramped and hazardous environments, performing inspection tasks, and carrying out active operations such as machining
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis