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Field
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industry, including industrial robotics, automation, 3D printing, machine vision implementation of energy and resource efficiency, including digitization of supply chains, mapping of opportunities
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demonstrate it in simple robots. Our work bridges organic neural systems and hysteron computing, and leverages (bio)chemical and electrical feedback to materialize adaptivity and plasticity. Key questions
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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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physiology, electronics, robotics, microengineering, materials science, AI, and pharmaceutical science. The doctoral candidates (DCs) will receive comprehensive training through research projects, secondments
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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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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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behavior, thereby affecting nearly every facet of our life, including healthcare, education, mobility, AI, robotics and culture. The positions: PhD candidate / project 10 focuses on understanding the effects
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of Supervisory Controller Synthesis. Affinity with application domains within mechanical engineering such as, e.g., mechatronics or robotics. Strong analytical and problem-solving skills, with a passion for