On cognitive assistant robots for reducing variability in industrial human-robot activities

In the industrial domain, one important research activity for cognitive robotics is the development of assistant robots. In this work, we show how the use of a cognitive assistant robot can contribute to (i) improving task effectiveness and productivity, (ii) providing autonomy for the human supervi...

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Detalhes bibliográficos
Autores: Chacón, Alejandro, Ponsa Asensio, Pere|||0000-0001-6306-7251, Angulo Bahón, Cecilio|||0000-0001-9589-8199
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/327709
Acesso em linha:https://hdl.handle.net/2117/327709
https://dx.doi.org/10.3390/app10155137
Access Level:acceso abierto
Palavra-chave:Cognitive science
Robots, Industrial
Human-robot interaction
Cognitive robots
Assistant robotics
Variability
Robots industrials
Interacció persona-robot
robots cog
Àrees temàtiques de la UPC::Informàtica::Robòtica
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina
Descrição
Resumo:In the industrial domain, one important research activity for cognitive robotics is the development of assistant robots. In this work, we show how the use of a cognitive assistant robot can contribute to (i) improving task effectiveness and productivity, (ii) providing autonomy for the human supervisor to make decisions, providing or improving human operators’ skills, and (iii) giving feedback to the human operator in the loop. Our approach is evaluated on variability reduction in a manual assembly system. The overall study and analysis are performed on a model of the assembly system obtained using the Functional Resonance Analysis Method (FRAM) and tested in a robotic simulated scenario. Results show that a cognitive assistant robot is a useful partner in the role of improving the task effectiveness of human operators and supervisors.