Design of Laser Rangefinder for Obstacle Avoidance of Intelligent Robot in Cloud Computing Environment

Abstract

In order to use intelligent robot to realize industrial automation, it is necessary to study the obstacle avoidance method of intelligent robot in cloud computing environment. The traditional obstacle avoidance method mainly uses fuzzy controller to realize the obstacle avoidance of intelligent robot. The problem of low recognition accuracy exists. In this paper, a design method of laser rangefinder for obstacle avoidance of intelligent robot in cloud computing environment is proposed. Firstly, the location problem of intelligent robot by laser rangefinder is modeled. Then, the obstacles are made feature extraction. Finally, the wavelet neural network classifier is used to identify obstacles. Experimental results show that the proposed method can realize the effective obstacle avoidance of intelligent robot.