Experimental Comparison of Standard and Trajectories Movement Algorithm using Intelligent Camera

With the development of technology, mobile transport robotic systems are increasingly entering various industries. The wide range of movement capabilities of a mobile transport robot with omnidirectional wheels around its central vertical axis and the precision of its movements in small spaces is an important advantage in terms of its controllability when used in logistics warehouses, industrial and production premises. For this reason, it is necessary to use complex algorithms for navigation in transport robots, which can be created with specific tools like Robotic Operating System (ROS) and others similar to it. The aim of the paper is to compare experimentally standard and trajectories movement algorithm using intelligent camera. The achieved results show that for 82.4% of the time the movement accuracy of the AGV is in accordance with the ideal trajectory. From the measurements made for the time to pass the route and the obtained average speed of movement, we can elect the conclusion that, when applying an algorithm using an artificial intelligence camera to determine the upcoming movement trajectory, we get a higher speed of movement and more stable trajectories compared, to a standard trajectories algorithm.