Artificial intelligence based mobile robot and its posture control method

摘要

An artificial intelligence-based mobile robot is disclosed. The artificial intelligence-based mobile robot includes a camera that generates an image by photographing the surroundings of the mobile robot, a weight sensor that measures the weight of the mobile robot to detect the weight of the mobile robot, and a speed of the mobile robot to detect the movement and a speed sensor for detecting the speed of the robot, a pair of gyro stabilizers for reducing the movement of the mobile robot, a processor for executing instructions for posture control of the mobile robot, and a memory for storing the instructions. The processor receives the weight of the mobile robot from the weight sensor and the speed of the mobile robot from the speed sensor in real time, and monitors the driving situation of the mobile robot according to the weight of the mobile robot and the speed of the mobile robot A driving situation monitoring module, a driving situation prediction module that receives the image from the camera to predict the driving situation of the mobile robot, and the pair according to the monitoring result of the driving situation monitoring module and the prediction result of the driving situation prediction module It includes a control module that controls the gyro stabilizers of the The driving situation monitoring module, the driving situation prediction module, and the control module are implemented with the commands. The pair of gyro stabilizers are positioned at the front and the center with respect to the center of gravity of the mobile robot. Each of the pair of gyro stabilizers includes a flywheel, a flywheel motor rotating the flywheel, a gimbal supporting the flywheel to rotate about one axis, and a gimbal motor rotating the gimbal includes The driving condition monitoring module receives the speed of the mobile robot in real time and calculates a change in the speed of the mobile robot. data is transmitted to the control module. When the control module receives the data, the control module controls the flywheel motor to change the rotation speed of the flywheel according to the speed change of the mobile robot, and the driving situation prediction module analyzes the image received from the camera , it is determined whether there is an obstacle or a slope in front of the mobile robot, and when it is determined that the obstacle exists in front of the mobile robot, the driving situation prediction module determines that it is a dangerous stage, and in front of the mobile robot When it is determined that the obstacle does not exist, the driving situation prediction module receives data about the weight of the mobile robot from the driving situation monitoring module, determines whether the mobile robot is loading, and moves in front of the mobile robot. When it is determined that there is no obstacle and that the mobile robot is loaded, the driving condition prediction module determines that it is a caution step, and that the obstacle does not exist in front of the mobile robot and that the mobile robot is not loaded When it is determined, the driving condition monitoring module determines whether the ramp exists in front of the mobile robot, the obstacle does not exist in front of the mobile robot, the mobile robot does not load, and the ramp exists When it is determined that the driving condition prediction module The driving situation prediction module determines the safety level.