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Evolutionary Path Planning Algorithm for Industrial Robots

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Evolutionary Path Planning Algorithm for Industrial Robots

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Abu-Dakka, FJM.; Valero Chuliá, FJ.; Mata Amela, V. (2012). Evolutionary Path Planning Algorithm for Industrial Robots. Advanced Robotics. 26(1):1369-1392. doi:10.1080/01691864.2012.689743

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/33662

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Title: Evolutionary Path Planning Algorithm for Industrial Robots
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Centro de Investigación en Tecnología de Vehículos - Centre d'Investigació en Tecnologia de Vehicles
Issued date:
Abstract:
This paper proposed a new methodology to solve collision free path planning problem for industrial robot using genetic algorithms. The method poses an optimization problem that aims to minimize the significant points ...[+]
Subjects: Adjacent configurations , Collision avoidance , Industrial robots , Kinematics , Path planning , Application examples , Collision-free path-planning , Complex environments , Computational time , Evolutionary path , Operational parameters , Optimization problems , Significant points , Algorithms , Motion planning
Copyrigths: Cerrado
Source:
Advanced Robotics. (issn: 0169-1864 )
DOI: 10.1080/01691864.2012.689743
Publisher:
Taylor & Francis and The Robotics Society of Japan
Publisher version: http://www.tandfonline.com/doi/pdf/10.1080/01691864.2012.689743
Thanks:
This paper has been made possible by the funding from the Spanish Ministry of MINISTERIO DE CIENCIA E INNOVACION through the Project Research and Technological Development DPI2010-20814-C02-01.
Type: Artículo

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