In industrial applications, there is increasingly more need for autonomous mobile robots, which do not require floor markings to execute navigation. Master’s thesis deals with design of system for autonomous navigation of mobile robot. The existing mobile robot is equipped with depth Intel RealSense D435 and a tracking camera T265. Based on depth camera, the information about distance between robot and walls and possible obstacles in surroundings is created. Meanwhile, based on tracking camera, the information about odometry of mobile robot is created. Actuators and sensors are integrated with the use of Robot Operating System (ROS). Implemented and tested is the algorithm of simultaneous mapping and localization gmapping. Testing of autonomous navigation is performed on the example of laboratory workshop.
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