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Field
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transport services are increasingly reliant on automation to improve their efficiency and reduce carbon emissions. There has been extensive research on physical risks to transport networks, with a focus on
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) to engineers and automated systems •Validate the system’s resilience, scalability, and practical relevance using real-world and representative datasets, with evaluation of technical performance and potential
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for Electrical Drives, Power Electronics and Devices Institute of Automation Institute for Microsensors, -Actuators and -Systems Institute of Electrodynamics and Microelectronics Institute for Telecommunications
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industry, the vast majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than
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majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than the day prior, glean
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This project aims to advance the field of human movement science by addressing the challenges encountered when developing a low-cost, automated system for screening the movement of pre-elite student
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-effectors and the host robot. Smart sensing systems to support automated manufacturing and maintenance, repair & overhaul. We refer here not only to conventional sensing, e.g. vision, orientation
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successes and proposes intelligent sensing and control solutions for automated robotic systems capable to be tele-operated using smart human-machine interfaces. This is an exciting PhD project that has a
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in both technical and potentially non-technical skills of medical staff, such as poor team dynamics, problems with communication and a lack of leadership. This automated obtained data can then be fed
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automated theorem provers and recently popularized for optimizing compilers and many other optimization tasks. We hypothesize that an e-graph would be an effective tool for discovering and encoding a large