Research and design of robot obstacle avoidance strategy based on multi-sensor and fuzzy control

Abstract

With the development of microcontrollers, inertial sensors, communication chips and other devices, the popularity of robots and their applications are gradually expanding, and the motion or operating environments they face are becoming more and more complex. In this paper, we use multi-sensor technology to collect information about obstacles, then analyze and identify the collected data, and use fuzzy control algorithms to build a multi-sensor information fusion obstacle avoidance method for robots based on the analyzed obstacle information, improve the robot's obstacle avoidance accuracy and optimize the robot's obstacle avoidance route, and realize the robot's autonomous obstacle avoidance function. This method is used to improve the obstacle avoidance accuracy of the robot and optimize the obstacle avoidance route of the robot.