Optimization of the Workpiece Location in a Machining Robotic Cell

One important issue in a machining robotic cell is the location of the workpiece with respect to the robot. The feasibility of the task, the quality of the final work and the energy consumption, just to mention a few, are all dependent upon it. This can be formulated as an optimization problem where...

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Main Authors: António M. Lopes, E.J. Solteiro Pires
Format: Article
Language:English
Published: SAGE Publishing 2011-12-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/45681
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author António M. Lopes
E.J. Solteiro Pires
author_facet António M. Lopes
E.J. Solteiro Pires
author_sort António M. Lopes
collection DOAJ
description One important issue in a machining robotic cell is the location of the workpiece with respect to the robot. The feasibility of the task, the quality of the final work and the energy consumption, just to mention a few, are all dependent upon it. This can be formulated as an optimization problem where the objective functions are chosen in order to meet desired performance criteria. Typically, the complexity of the problems and the large number of optimization parameters that, usually, are involved, make the genetic algorithms an appropriate tool in this context. In this paper, two optimization problems are formulated: firstly, the power consumed by the manipulator is considered and the problem is solved using a single-objective genetic algorithm; then the stiffness of the manipulator is also included and the respective optimization problem is solved using a multi-objective genetic algorithm. Simulation results are presented for a parallel manipulator robotic cell.
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spelling doaj.art-42b2ae8c2db34456afd850c1a3f79cfd2022-12-22T01:01:06ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142011-12-01810.5772/4568110.5772_45681Optimization of the Workpiece Location in a Machining Robotic CellAntónio M. Lopes0E.J. Solteiro Pires1 Institute of Mechanical Engineering Póo, Faculty of Engineering, Porto University, Portugal Center of Research and Agro - Environmental Technology and Biology, School of Sciences and Technology, University Trás-os-Montes and Alto Douro, PortugalOne important issue in a machining robotic cell is the location of the workpiece with respect to the robot. The feasibility of the task, the quality of the final work and the energy consumption, just to mention a few, are all dependent upon it. This can be formulated as an optimization problem where the objective functions are chosen in order to meet desired performance criteria. Typically, the complexity of the problems and the large number of optimization parameters that, usually, are involved, make the genetic algorithms an appropriate tool in this context. In this paper, two optimization problems are formulated: firstly, the power consumed by the manipulator is considered and the problem is solved using a single-objective genetic algorithm; then the stiffness of the manipulator is also included and the respective optimization problem is solved using a multi-objective genetic algorithm. Simulation results are presented for a parallel manipulator robotic cell.https://doi.org/10.5772/45681
spellingShingle António M. Lopes
E.J. Solteiro Pires
Optimization of the Workpiece Location in a Machining Robotic Cell
International Journal of Advanced Robotic Systems
title Optimization of the Workpiece Location in a Machining Robotic Cell
title_full Optimization of the Workpiece Location in a Machining Robotic Cell
title_fullStr Optimization of the Workpiece Location in a Machining Robotic Cell
title_full_unstemmed Optimization of the Workpiece Location in a Machining Robotic Cell
title_short Optimization of the Workpiece Location in a Machining Robotic Cell
title_sort optimization of the workpiece location in a machining robotic cell
url https://doi.org/10.5772/45681
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