Robot navigation method, robot and storage device

Abstract

The present invention discloses a robot navigation method and devices and belongs to the field of robot technologies. The method includes the following steps that: a global path from a starting pointto a target point is obtained through global cost map planning; a robot moves to the target point according to the global path, and performs path tracking during the moving process; whether a movementabnormality occurs during the path tracking is judged; if the movement abnormality occurs, a global cost map is used to re-plan a global path from the current location to the target point. Therefore,with the robot navigation method and devices of the invention adopted, the calculation quantity of the processor of a navigation device can be decreased, and navigation efficiency can be improved.

Description

technical field [0001] The present application relates to the technical field of robots, in particular to a robot navigation method, a robot and a storage device. Background technique [0002] Mobile robot navigation is a system and method that realizes that the robot system relies on sensor technology and artificial intelligence technology to move from the starting point to the destination point in a complex environment. Specifically, including environment perception, global planning, local planning, motor control, etc., a large amount of data needs to be processed to realize robot navigation, and in the actual navigation process, the robot needs to continuously detect the surrounding environment information, and update and adjust the navigation according to the specific environment path. In the long-term research and development process, the inventor of the present application found that the real-time processing of these environmental information data resulted in a large ...

AI Technical Summary

Problems solved by technology

In the long-term research and development process, the inventor of the present application found that because the real-time processing of these environmental information data results in a large amount of calculation, which in turn leads to delayed processing of the navigation plan data, and the delayed processing of the navigation data will affect the robot. Even dangerous, such as: hitting obstacles, etc.

The processor's computing load is too large, and it will also affect the overall performance of the robot, which is unresponsive and no longer intelligent and flexible.

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