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

A map update and control method technology, applied in the direction of instruments, computer parts, calculations, etc., can solve the problems of reducing the working efficiency of robots, the learning ability of robots is not high, and increasing the amount of calculation of machines
CN109974722BActive Publication Date: 2020-09-15AMICRO SEMICON CORP
7 Cites 1 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
AMICRO SEMICON CORP
Publication Date
2020-09-15

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More