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  KEYWORD

Adaptive and tailored prognosis tools for human-robot collaboration in human-centric inclusive manufacturing

estero Thesis abroad


keywords ARTIFICIAL INTELLIGENCE, INCLUSIVE MANUFACTURING, PROGNOSTICS, SUSTAINABILITY

Reference persons PAOLO CLAUDIO PRIARONE, ALESSANDRO SIMEONE

Thesis type RESEARCH / EXPERIMENTAL

Description The thesis will develop adaptive and tailored prognosis tools to enhance human-robot collaboration within the context of inclusive manufacturing. This research focuses on creating prognostic systems that dynamically adapt to changing conditions and are tailored to the specific needs of human operators with neurodiversities. By combining real-time sensing data, predictive analytics and human-centric design, these tools aim to optimize task allocation, safety protocols, productivity and sustainability in inclusive manufacturing environments. The research activities will be carried out in collaboration with Loughborough University, UK.


Deadline 31/03/2024      PROPONI LA TUA CANDIDATURA




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