The investigation of the obstacle avoidance for mobile robot based on polar coordinates vector method
Dongyue Qu, Jialei Xu, Yuanhang Hu · 2013
In this paper, obstacle avoidance and navigation of mobile robot are achieved by using polar coordinates vector method. Vector density mode method is proposed to optimize the vector window. Polar coordinates vector method, for detection and modeling of external environment and the judgment of some complex conditions like obstacles merger or overlapping, can improve the accuracy of the environment model and the response speed of the robot. There is some work on the selection of the mobile robot local sub-target point and dynamic obstacle avoidance strategy. The experimental results show the effectiveness and optimization of the algorithm.