A map update control method and map update control system for a visual robot

Abstract

The invention discloses a map update control method and a map update control system for a visual robot. The map update control method includes the following steps: step 1, acquiring map attribute measurement data corresponding to the current map of a preset working area; step 2, when detecting When the visual robot has traversed the preset working area once, judge whether the current map and the pre-stored historical map meet the preset matching degree according to the map attribute measurement data. If yes, decide to save the current map; otherwise, decide not to save the current map and keep the pre-stored Step 3. When it is determined to save the map attribute information corresponding to the current map, write the map attribute information corresponding to the current map into the map storage medium to update the map attribute information corresponding to the historical map. Enhance the robot's familiarity with the working area, and improve the learning ability of the robot to the preset working area.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and in particular relates to a map update control method and a map update control system for a visual robot. Background technique [0002] The mobile robots currently on the market delete the historical map and start building the map again every time. This is also the characteristic of the slam algorithm. The full name of the slam algorithm is Simultaneous Localization and Mapping, which enables simultaneous positioning and real-time mapping. During the process of traversing tasks in the same working area, the robot often re-establishes the map, and does not save the original map after the new map is established, resulting in the failure of the information recorded in the original map. The historical map mentioned in this manual is equivalent to the aforementioned original map of . [0003] In this way, in the process of repeatedly navigating the same work area, the robot does not us...

AI Technical Summary

Problems solved by technology

Then, in the scene where the environment of the robot in the same working area does not change, it is of little significance to rebuild the map or update the historical map. Instead, it increases the amount of calculation of the machine, which in turn reduces the working efficiency of the robot, making the user feel that the robot is Less able to learn from the surrounding environment

Therefore, how to use the historical map to enhance the robot's familiarity with the working area, and then enhance the robot's learning ability, is a technical defect that needs to be improved in the existing technology

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