This paper introduces the control architecture of a platform aimed at promoting good mental health for workers interacting with collaborative robots (cobots). The platform aim is to render industrial production cells capable of automatically adapting their behavior in order to improve the operator's quality of experience and level of engagement and to minimize his/her psychological strain. In order to achieve such a goal, an extremely rich and complex framework is required. Starting from the identification of the parameters that could influence the collaboration experience, the envisioned human- driven control structure is presented together with a detailed description of the components required to implement such an automated system. Future works will include proper tuning of control parameters with dedicated experimental sessions, together with the definition of organizational and technical guidelines for the design of a mental-health-friendly cobot-based manufacturing workplace.

A human-driven control architecture for promoting good mental health in collaborative robot scenarios / M.L. Nicora, E. Andre, D. Berkmans, C. Carissoli, T. D'Orazio, A.D. Fave, P. Gebhard, R. Marani, R.M. Mira, L. Negri, F. Nunnari, A.P. Fernandez, A. Scano, G. Reni, M. Malosio (IEEE RO-MAN). - In: 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)[s.l] : IEEE, 2021. - ISBN 978-1-6654-0492-1. - pp. 285-291 (( Intervento presentato al 30. convegno IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 tenutosi a Vancouver nel 2021 [10.1109/RO-MAN50785.2021.9515315].

A human-driven control architecture for promoting good mental health in collaborative robot scenarios

C. Carissoli;A.D. Fave;L. Negri;M. Malosio
Ultimo
2021

Abstract

This paper introduces the control architecture of a platform aimed at promoting good mental health for workers interacting with collaborative robots (cobots). The platform aim is to render industrial production cells capable of automatically adapting their behavior in order to improve the operator's quality of experience and level of engagement and to minimize his/her psychological strain. In order to achieve such a goal, an extremely rich and complex framework is required. Starting from the identification of the parameters that could influence the collaboration experience, the envisioned human- driven control structure is presented together with a detailed description of the components required to implement such an automated system. Future works will include proper tuning of control parameters with dedicated experimental sessions, together with the definition of organizational and technical guidelines for the design of a mental-health-friendly cobot-based manufacturing workplace.
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Settore M-PSI/01 - Psicologia Generale
Settore M-PSI/06 - Psicologia del Lavoro e delle Organizzazioni
H20_RIA20ADELL_01 - Mental Health promotion of cobot Workers in Industry 4.0 (MindBot) - DELLE FAVE, ANTONELLA - H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action - 2020
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/924493
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