Path Planning Algorithm Based on Visual Image Feature Extraction for Mobile Robots

When autonomous mobile robots plan their own movements properly, they first need to perceive the surrounding environment and then make comprehensive decisions based on the surrounding environment information, that is, path planning. Vision can provide abundant and complete environmental information for robots, and it can significantly improve the effect of path planning when it is introduced into the path planning of autonomous robots. In this article, we take the autonomous mobile robot AS-R as the research object and use the multisensors such as a gimbal camera and ultrasonic sensor attached to the robot to study the navigation line information perceived by machine vision, the obstacle information sensed by range sensor, and the fusion of multisensor information to solve the image processing, path recognition, information fusion, decision control, and other related problems of the mobile robot to realize the autonomous mobile robot.