Cleaning Robot Timed Detection for Obstacle-Blocked Region Coverage
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Solution Overview
Problem
Cleaning robots often bypass temporary obstacles like furniture, leading to uncleaned areas and a suboptimal user experience due to their inability to detect and clean these regions until the obstacles are removed.
Innovation Solution
A timed cleaning method and device that utilize a topographic map to identify unclean regions occupied by obstacles, regularly detect their presence, and clean them once the obstacles are removed, with the ability to differentiate between temporary and fixed furniture based on their size and properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cleaning robot bypasses obstacles during cleaning, then collision avoidance is achieved, but uncleaned areas are left behind
Solution Approach 1:
The system performs preliminary scanning to identify obstacles and pre-plans alternative cleaning paths around them. By anticipating obstacle locations in advance, the robot can systematically return to these areas later without colliding, ensuring complete cleaning coverage while maintaining safe operation
Solution Approach 2:
The cleaning path is made dynamic and adaptive rather than fixed. The robot continuously updates its cleaning plan based on real-time obstacle detection, adjusting its trajectory to bypass obstacles temporarily and schedule return visits to previously skipped areas, thereby maintaining both collision avoidance and complete coverage
2Manufacturing precision
If the cleaning robot repeatedly cleans the same region, then cleaning quality is improved, but cleaning efficiency decreases
Solution Approach 1:
The cleaning area is segmented into multiple zones, with some regions marked for repeated cleaning while others are cleaned once. The system intelligently divides the floor plan into segments that require different cleaning frequencies based on their importance and accessibility, allowing high-priority areas to be cleaned multiple times while maintaining overall efficiency
Solution Approach 2:
Different cleaning strategies are applied to different regions of the floor. Critical areas that are difficult to access or highly visible receive repeated cleaning passes, while less important areas are cleaned once. This localized differentiation ensures high cleaning quality where needed without unnecessarily reducing overall cleaning efficiency
3Measurement precision
If the cleaning robot scans frequently to detect obstacles, then obstacle detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The scanning operation is performed periodically at predetermined intervals rather than continuously. The robot scans for obstacles at regular time intervals or after traveling specific distances, maintaining adequate obstacle detection accuracy while significantly reducing energy consumption compared to continuous scanning
Solution Approach 2:
The robot performs preliminary scanning of the environment before beginning the cleaning operation to identify obstacles in advance. This initial scan allows the robot to plan its cleaning path around known obstacles, reducing the need for frequent scanning during cleaning and thereby lowering energy consumption while maintaining detection accuracy
Data Source
Figure 1a~1b
Figure 1c
Figure 1d
AI summary
The present invention relates to a timed cleaning method, device and storage medium. The method includes: obtaining a topographic map of a cleaning region, where the topographic map identifies an obstacle in the cleaning region; according to the topographic map, determining an unclean region in the cleaning region, which is occupied by the obstacle and is unable to be cleaned; detecting the unclean region according to a preset time interval; and when detecting that the obstacle placed on the unclean region is removed away, cleaning the unclean region. In this technical solution, when encountering an obstacle in a region in the cleaning process, the region is marked as an unclean region, and the unclean region is detected regularly. Until detecting that the obstacle is removed away, the unclean region occupied by the obstacle is cleaned, thereby increasing flexibility in cleaning the room, ensuring cleaning quality and improving user experience.