Llopis Albert, C.; Rubio Montoya, FJ.; Valero Chuliá, FJ. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research. 68(7):1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/81677
Title:
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Improving productivity using a multi-objective optimization of robotic trajectory planning
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Author:
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Llopis Albert, Carlos
Rubio Montoya, Francisco José
Valero Chuliá, Francisco José
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
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Issued date:
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Abstract:
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This study presents a methodology to tackle robot tasks in a cost-efficientway. It poses amulti-objective optimization
problemfor trajectory planning of robotic arms that an efficient algorithmwill solve. Themethod finds ...[+]
This study presents a methodology to tackle robot tasks in a cost-efficientway. It poses amulti-objective optimization
problemfor trajectory planning of robotic arms that an efficient algorithmwill solve. Themethod finds the
minimum time to perform robot tasks while considering the physical constraints of the real working problem
and the economic issues participating in the process. This process also considers robotic system dynamics and
the presence of obstacles to avoid collisions. It generates an entire set of equally optimal solutions for each process,
the Pareto-optimal frontiers. They provide information about the trade-offs between the different decision
variables of the multi-objective optimization problem. This procedure can help managers in decision-making
processes regarding performing tasks, items to be manufactured or robotic services performed to meet with
the current demand, and also, to define an efficient scheduling. It improves productivity and allows firms to
stay competitive in rapid changing markets.
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Subjects:
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Robotics
,
Multi-objective optimization
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Trajectory planning
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Pareto frontier
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Scheduling
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Journal of Business Research. (issn:
0148-2963
) (eissn:
1873-7978
)
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DOI:
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10.1016/j.jbusres.2015.01.027
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.jbusres.2015.01.027
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Project ID:
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info:eu-repo/grantAgreement/MICINN//DPI2010-20814-C02-01/ES/IDENTIFICACION DE PARAMETROS DINAMICOS EN VEHICULOS LIGEROS Y ROBOTS MOVILES. APLICACION A LA IDENTIFICACION EN TIEMPO REAL./
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Thanks:
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The authors thank the funding of Science and Innovation Ministry of the Spain Government by means of the Researching and Technologic Development Project DPI2010-20814-C02-01 (IDEMOV).
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Type:
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Artículo
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