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these robots utilise electronic, chemical, pressure, magnetic, or thermal mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage
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, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences
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, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
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degree. A good knowledge and/or experience in chemical experimental techniques is essential, as is the ability to work well in a team. Prior experience in the areas of computational chemistry or analytical
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to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences, or physics & electronics, and
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the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences, or programming, and have an inquisitive spirit motivated to develop a world-leading
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or any related discipline with at least 70 % in the project element. This is an experimental research project based at the University of Nottingham. Funding: The PhD studentship will cover (1) Tuition