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Project

MindBot

Mental Health promotion of cobot Workers in Industry 4.0

Mental Health promotion of cobot Workers in Industry 4.0

  • Duration:

MindBot aims at identifying methods and implementing solutions for promoting good mental health in the emerging industry 4.0 within the specific context of manufacturing small and medium-sized enterprises (SMEs) that adopt collaborative robots (cobots) in their production lines. MindBot idea is to design workplaces where level of challenge and difficulty of job tasks are matched with the workers’ abilities and skills, in order to support motivation and engagement of workers interacting with cobots in a flexible and personalized way.

This will facilitate an active and positive attitude of the worker that promotes good mental health and prevents negative experiences of anxiety or boredom and apathy that eventually lead to mental illnesses. A multidisciplinary approach will be adopted by taking into account multiple facets potentially impacting mental health and intervening on technological, relational and organizational aspects of the cobot-based work. MindBot involves a major worldwide cobot manufacturer, SMEs (employers and employees), universities, technical and clinical research centers, patient organizations and ministry of labour and pension system. The key expected results are: 1.The definition of organizational guidelines for the design of a cobot-based manufacturing workplace able to promote workers’ mental health; 2.The definition of technical guidelines for the design of a “mental health friendly” cobots, including the MindBot prototype development; 3. The definition of an employment model for persons diagnosed with autism spectrum disorders (ASD) working in the frame of manufacturing SMEs adopting cobot.

Partners

Universita degli Studi di Milano Consiglio Nazionale Delle Ricerche KUKA Deutschland GmbH Universität Augsburg Associazione la nostra famiglia - Istituto Scientifico Eugenio (IRCCS Ponte Lambro) BIORICS NV (BIORICS Heverlee) Sveuciliste u Rijeci, Filozofski Faultet u Rijeci (Sveuciliste Rijeka) Ministarstvo rada i mirovinskog sustava (Ministarstvo MRMS Zagreb)

Sponsors

EU - European Union

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 847926

EU - European Union