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At present state, almost the industrial robot tasks are performed by the teaching playback method, in which the robot repeats positioning its joint angles, which are taught manually in advance using a teaching pendant, etc. This method is based on comparatively high repeatability of a robot arm. The problem here is that the laborious and time-consuming online manual teaching is inevitable whenever the specification of the product is changed. It is desirable to teach the task easily and quickly to the robot manipulator when the production line and the production goods are changed.

Selection of Optimal Measuring Points Using Genetic Algorithm in the Process to Calibrate Robot Kinematic Parameters