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algorithms (e.g., filtering, normalization, and event detection) to characterize human–robot interaction patterns, with a particular focus on detecting movement intention and potential risk situations. iv
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algorithms for classifying modes of locomotion and assessing fall risk; iv) integration and control of balance recovery through slip detection tools in a commercial exoskeleton, using ROS2, DMPs, CPGs, and
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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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“Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, reference FCT 2024.07481.IACDC/2024, financed by measure RE-C05-i08. M04 – "Support the launch of an R&D project programme aimed
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for the attribution of 2 grant of Master within the scope of the project of R&D “Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, FCT 2024.07481.IACDC/2024, supported by