Mustafa Çakır, Erhan Butun and Yekta Kayman
Seeks to present a new method of trajectory planning, i.e. genetic algorithms (GA), for six‐degree‐of‐freedom (DOF) industrial robots.
Abstract
Purpose
Seeks to present a new method of trajectory planning, i.e. genetic algorithms (GA), for six‐degree‐of‐freedom (DOF) industrial robots.
Design/methodology/approach
Describes the effects of the GA method with the advantage of quaternion algebra and by a process of elimination selects the optimal solution.
Findings
Finds that the problem of optimization, caused by having two contrary response variables, i.e. time and distance, can only be solved by determining the importance of the variables and calculating the optimum levels of the parameters.
Originality/value
This study would appear to break new ground in the trajectory planning of six‐DOF industrial robots in proposing a superior alternative to conventional methods.