Ponencias

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http://hdl.handle.net/20.500.14454/1637

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Examinando Ponencias por Materia "Collaborative robots"

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  • Miniatura
    Ítem
    Collaborative Robots in e-waste management
    (Elsevier B.V., 2017) Álvarez de los Mozos, Esther; Rentería Bilbao, Arantxa
    Nowadays manufacturing companies are going through an increasing public and government pressure to reduce the environmental impact of their operations. But when dealing with e-waste, some difficulties arise in classifying and dismantling electronic devices. Manual operations are financially prohibitive and full automation is also discarded due to the lack of uniformity of the disposed devices. A halfway solution is to let a human operator and a robot share the process. The goal of this research is the optimization of the recycling process of electronic equipments, applying both technical and economic criteria, and taking into account the latest developments in collaborative robots.
  • Miniatura
    Ítem
    Human-robot collaboration as a new paradigm in circular economy for WEEE management
    (Elsevier B.V., 2019) Rentería Bilbao, Arantxa; Álvarez de los Mozos, Esther
    E-waste is a priority waste stream as identified by the European Commission due to fast technological changes and eagerness of consumers to acquire new products. The value chain of the Waste on Electric and Electronic Equipment (WEEE) has to face several challenges: the EU directives requesting collection targets for 2019-2022, the costs of disassembly processes which is highly dependent on the applied technology and type of discarded device, and the sale of the obtained components and/or raw materials, with market prices varying according to uncontrolled variables at world level. This paper presents a human-robot collaboration for a recycling process where tasks are opportunistically assigned to either a human-being or a robot depending on the condition of the discarded electronic device. This solution presents some important advantages; i.e. tedious and dangerous tasks are assigned to robots whereas more value-added tasks are allocated to humans, thus preserving jobs and increasing job satisfaction. Furthermore, first results from a prototype show greater productivity and profitable projected investment.