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Field
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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, earth observation, and robotics. Consequently, a MUDS student will learn to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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more electronics are being used "in the edge". Think of biomedical wearables, internet of things sensing nodes, autonomous robots, etc. The PhD project will investigate the design of event-based
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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Description This thesis will rely primarily on the expertise of the RDH (Robotics, Data Science and Healthcare Technologies) team at the ICube engineering sciences laboratory (UMR 7357), in the field
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improve surgical workflow, shortens surgery time, enables unrestricted movement tracking, and reduces infection risks. Eliminating markers enables robot-assisted or fully automated femoral implantation
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, and robotics. The project also involves clinical collaboration with Rigshospitalet and aims to translate cutting-edge research into real-world rehabilitation solutions. Project Overview The PhD project