Robot navigation control method

Abstract

The invention relates to a control system, and discloses a navigation control method of a robot. According to the method, a road face image located in front of the robot is obtained periodically, whether a ground mark exists in the obtained road face image or not is detected, the position and direction of the robot are calculated on two occasions according to the detection result of whether the ground mark exists or not, and accordingly the walking direction and speed of the robot are controlled according to the calculated position and direction. Manufacturing cost of the robot is reduced; the position detection based on the coordinate system and the position detection based on the dead reckoning are both more accurate position calculation modes compared with the infrared detection, so that accurate control over the advancing route of the robot is guaranteed; furthermore, handling is conducted on two occasions according to whether the ground mark can be detected or not, so that the cycle length for obtaining the road face images can be free of limitation, and thus real-time calculation of the advancing direction and position of the robot is guaranteed.

Description

technical field [0001] The invention relates to a control system, in particular to a walking control system of a robot. Background technique [0002] Existing control systems for swarm robots such as figure 1 As shown, in this framework, the task scheduling and task allocation modules are generally implemented on the server, and the path planning, motion control, obstacle avoidance and other functions are implemented on the computer of the robot itself. For example, the robot's own sensors detect changes in the map, the presence and movement of obstacles, and use the robot's own computer to calculate the route of travel. The robots communicate with each other through a wireless network, and share their position, speed, attitude, and detected obstacle information as needed. [0003] In order to ensure that the robot walks according to the planned route, it is usually necessary to design an infrared detection module for distance measurement in the robot, and control the walk...

AI Technical Summary

Problems solved by technology

[0004] However, in the above solution, it is not only necessary to add an infrared detection module to the robot, but this will lead to an increase in the manufacturing cost of the robot.

Moreover, only controlling the walking of the robot based on the distance measurement of external objects cannot guarantee the accuracy of its travel route.

Images