Design and Application of Artificial Intelligence Robot Based on Automation Technology

In the logistics operation process, artificial intelligence robot of transportation can effectively reduce labor costs. It can move according to a program or a selectable path detected by sensors, and in practical industrial applications, it does not require a human to operate it. This article uses artificial intelligence transportation robots as an example to carry out related system automation design. The transportation robot navigation system mainly consists of three parts: decision information, decision maker, and actuator. In this paper, based on the motion trajectory, the automatic adjustment of the motion trajectory is realized through the combination of the motion trajectory, and the dynamic adjustment of the motion trajectory is realized on this basis. In the chassis design, this paper uses a six-wheel chassis, with a universal wheel on each side and a drive wheel on each side of the center. In the sensor configuration, this paper plans to configure color, binocular, fisheye, LiDAR (light detection and ranging), IMU (inertial measurement unit), laser ranging, and other sensors on the robot to achieve effective perception of the surrounding environment. Based on the LiDAR point cloud data, this paper constructs the simulation data of similar trunks and verifies it, so as to prove the advantages of the algorithm in this paper for detecting the position information of fruit trees. In terms of the overall average accuracy rate, LAPO-DBSCAN (lightning attachment procedure optimization-density-based spatial clustering of applications with noise) has an accuracy rate of 95.6%, and LAPO has an accuracy rate of 91.6%. The artificial intelligence robot design based on automation technology in this paper will help promote the intelligent development of the logistics industry.