Design of Indoor Security Robot based on Robot Operating System

The design and implementation of indoor security robot can well integrate the two fields navigation object detection, in order to achieve a more powerful system, development this project has certain theoretical research significance practical application value. is completed ROS (Robot Operating System). main tools or frameworks used include AMCL (Adaptive Monte Carlo Localization) package, SLAM (Simultaneous Localization Mapping) algorithm, Darknet deep learning framework, YOLOv3 (You Only Look Once)algorithm, etc. methods odometer information fusion, coordinate transformation, localization mapping, path planning, model training, function package configuration deployment. Indoor functions: first, it complete real-time localization, mapping environment through sensors such as lidar camera; Second, detection accomplished USB camera. Through detailed analysis functional modules, expected finally realized, which meet daily use needs.