Comparing the efficiency of five algorithms applied to path planning for industrial robots

PurposeTo compare the quality and efficiency of five methods for solving the path planning problem of industrial robots in complex environments Design/methodology/approachFive 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/implicationsFive techniques have been developed which yield good results in general. Practical implicationsThe algorithms introduced are able to solve the path planning problem for any industrial robot working with obstacles. Social implicationsThe path planning algorithms help robots perform their tasks in a more efficient way due to the fact that the path followed has been optimized and therefore they help humans work together with the robots in order to obtain the best results from them. Originality/valueThe paper shows which algorithm offers the best results depending on the example the user has to solve and the parameter to be optimized.