An Improved Line Following Optimization Algorithm for Mobile Robot

Although machine vision based robot navigation technology has become the mainstream nowadays, the traditional line following navigation still plays an important role because of its simple design and low cost. We have designed and tested a line follower robot and attended line follower robots competition. In order to address the common issues in the traditional robot line following navigation technology, such as weak environmental adaptability and vulnerability to the external ambient light, an improved line following navigation optimization algorithm have been proposed. The experiment results show that it improves the robustness and stability of the line following navigation robot control.