Comparing the efficiency of five algorithms applied to path planning for industrial robots
Abstract
Purpose
The purpose of this paper is to compare the quality and efficiency of five methods for solving the path planning problem of industrial robots in complex environments.
Design/methodology/approach
In total, five methods are presented for solving the path planning problem and certain working parameters have been monitored using each method. These working parameters are the distance travelled by the robot and the computational time needed to find a solution. A comparison of results has been analyzed.
Findings
After this study, it could be easy to know which of the proposed methods is most suitable for application in each case, depending on the parameter the user wants to optimize. The findings have been summarized in the conclusion section.
Research limitations/implications
The five techniques which have been developed yield good results in general.
Practical implications
The algorithms introduced are able to solve the path planning problem for any industrial robot working with obstacles.
Social implications
The path planning algorithms help robots perform their tasks in a more efficient way because the path followed has been optimized and therefore they help human beings work together with the robots in order to obtain the best results from them.
Originality/value
The paper shows which algorithm offers the best results, depending on the example the user has to solve and the parameter to be optimized.
Keywords
Citation
Rubio, F., Abu‐Dakka, F.J., Valero, F. and Mata, V. (2012), "Comparing the efficiency of five algorithms applied to path planning for industrial robots", Industrial Robot, Vol. 39 No. 6, pp. 580-591. https://doi.org/10.1108/01439911211268787
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited