Search method and system of charging base, self-moving robot and storage medium
By obtaining the obstacle interval distance in the target area from the robot vacuum cleaner, dividing it into sub-regions, and selecting reasonable sub-regions for searching, the problem of low efficiency and low success rate when the robot vacuum cleaner searches for the charging dock is solved, and efficient and accurate charging dock positioning is achieved.
CN116211171BActive Publication Date: 2026-07-17DREAM INNOVATION TECH (SUZHOU) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DREAM INNOVATION TECH (SUZHOU) CO LTD
- Filing Date
- 2021-12-06
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing robotic vacuum cleaners have an unreasonable and inaccurate search strategy when searching for charging docks, resulting in a low success rate and slow speed, especially when obstacles block the view.
Method used
By obtaining the target interval distance between each location point in the target area and the obstacle, the area is divided into multiple sub-areas. Sub-areas that meet the requirements are selected, and the device is controlled to search for charging docks in the sub-areas, adopting a reasonable search strategy to improve efficiency.
Benefits of technology
It improves the success rate and efficiency of charging dock searches, avoids blind searches, shortens the travel distance, and provides a better user experience.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116211171B_ABST
Abstract
The application discloses a search method and system of a charging base, a self-moving robot and a storage medium. According to the method, when a target device such as a sweeper searches for a charging base, the target area can be divided into a plurality of sub-areas corresponding to a plurality of target interval distances of position points in the target area relative to obstacles, wherein the target interval distance of the position points relative to the obstacles in the same sub-area is the same, and the target interval distance is the minimum value of the interval distance between the position points and different obstacles. Then, a first sub-area meeting the requirements is selected from the plurality of sub-areas according to a preset screening rule. The target device can be controlled to move and search for the charging base in the first sub-area, so that the charging base can be intelligently and efficiently searched in the target area, and the search success rate and search efficiency of the charging base are improved.
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