Intelligent Patrol Robot Based on Visual Machine Deep Learning

Abstract

The purpose of this study was to investigate the ability to achieve self-navigation by robots in an unknown environment. An experiment was set up to collect the data. By installing a visual sensor on the robot, environment data and other crucial information were collected and analyzed efficiently. The results reveal that robots cannot recognize the environmental perception stage due to the limitation of existing computing and storage capabilities. The study findings may serve as a guide for further research on robotic intelligence.