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to the detection of fall-risk situations during assisted gait with the team’s commercial exoskeleton, including sensor data processing and algorithm parameter tuning. ii) Developing and testing software modules
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Bio-inspired controllers, AI and data for Real-Time Prevention”, operation code NORTE2030-FEDER-01179400, financed National Innovation Agency, S.A. (ANI), through the European Regional Development Fund
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achieved: The work plan will consist of: i) improving the development of computational tools and optimizing the parameters of the best tool for detecting fall risk situations in assisted walking with
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; Develop algorithms that adjust the type of pedagogical scaffolding. The goal is always to guide the student without giving the answer, but the way of guiding will be the focus of the adaptation. Fine-tuning
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the scope of the project Development of eco-efficient products with cementitious composites incorporating industrial waste, ref. COMPETE2030-FEDER-01181800, financed by the European Regional Development Fund
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Biomimetics (ICVS/3B's-LA), from the University of Minho, with reference LA/P/0050/2020, with a view to the development of R&D activities, namely to participate in the development and execution of R&D projects
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of Scientific and Technological Knowledge - Integrated IC&DT Projects, in the Center for Electromechanical Microsystems (CMEMS-UMinho), financed by the Northern Regional Coordination and Development Commission
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Recuperação e Resiliência (PRR), with a view to developing a final model that uses mass optimization techniques, validation of results in real-world scenarios, namely the extraction system, manufacturing and
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additive manufacturing; ii) conducting tests on the developed prototypes; iii) development of concepts for hybrid products for the food sector, with possible contact with food; and v) preparation
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of Center for Microelectromechanical Systems (CMEMS-UMinho), “Smart Control of a Soft Exoskeleton with a Textile-based Actuation”, COMPETE2030-FEDER-00761900, co-financed by European Regional Development Fund