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PhD Studentship: A continual learning approach for the development of robust robotic control systems
A continual learning approach for the development of robust robotic control systems This project is an exciting opportunity to undertake industrially linked research in partnership with
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-sponsored by UK’s leading semiconductor manufacturer Dynex Semiconductor for an exciting research project below: Vehicle electrification is urgently needed to reduce the CO2 emissions of conventional vehicles
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of the most challenging environments imaginable. The main research focus of this PhD program is the intelligent design and control of an extra-long compliant snake robot capable of self-localization
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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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health factors. Background: Fertility is a global-level multifaceted health problem where infertility and birth control are pressing concerns. WHO figures indicate that 1 in 6 people globally suffer from
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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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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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. This project will build upon our research and industrial successes, focusing on developing control solutions for automated robotic systems that can be teleoperated using intuitive human-machine interfaces
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Project: AI-Driven infrastructure inspection: continual improvement through reinforcement learning. A three-year studentship, beginning in October 2025. This project is an exciting opportunity
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug