Cleaning Robot Region Division for Adaptive Path Planning
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Solution Overview
Problem
Cleaning robots face inefficiencies due to unreasonable path planning, leading to low coverage rates and high path repetition when environment changes occur, as they rely on static maps that lack adaptability.
Innovation Solution
Implementing a dynamic region division method that uses real-time environment information to determine passage presence and block or open passages, ensuring tasks are completed in one region before moving to the next, using sensors like laser or vision systems for accurate mapping and obstacle identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a cleaning robot uses a static cleaning map for region division, then the robot can complete cleaning tasks, but the coverage rate is low and path repetition is high when the environment changes greatly
Solution Approach 1:
The patent implements dynamic region division by continuously updating the cleaning map with real-time environment information during robot operation. The region boundaries are not fixed but adapt dynamically based on current environmental data, allowing the robot to adjust its cleaning paths and avoid repeated traversal of already-cleaned areas, thereby resolving the contradiction between environmental adaptability and cleaning efficiency
Solution Approach 2:
The system employs feedback mechanisms where the robot continuously collects environment information during cleaning operations and uses this information to update the cleaning map and adjust region divisions. This closed-loop feedback enables the robot to recognize already-cleaned areas and modify its path planning accordingly, improving both adaptability to environmental changes and overall cleaning efficiency
2Ease of operation
If the robot divides the cleaning area according to a previous cleaning map, then the robot can plan its path, but the path planning is unreasonable when the environment changes greatly
Solution Approach 1:
The system performs preliminary path planning based on the initial cleaning map, but continuously updates this plan during execution by incorporating real-time environment information. This allows the robot to maintain structured path planning while adapting to environmental changes, ensuring both ease of operation and reliability of path planning
Solution Approach 2:
The path planning system transitions from static to dynamic by continuously updating the cleaning map with current environment data. Region boundaries and cleaning paths are adjusted in real-time based on newly acquired environment information, ensuring path planning remains accurate and reliable even when the environment changes significantly
3Productivity
If the robot allows passage to the next region during cleaning, then the robot can move between regions, but repeated sweeping and miss sweeping occur
Solution Approach 1:
The patent segments the cleaning area into distinct regions with dynamically updated boundaries. By dividing the environment into manageable regions and tracking cleaning status within each region, the system can control robot movement between regions, allowing passage only when appropriate, thereby preventing repeated sweeping and improving time efficiency while maintaining comprehensive cleaning coverage
Solution Approach 2:
The system uses feedback from real-time environment information to monitor cleaning progress in each region. When a region is fully cleaned, the system provides feedback to adjust region boundaries and control passage to adjacent regions, preventing the robot from re-entering already-cleaned areas and eliminating wasted time on repeated sweeping
Data Source
AI summary
Provided are dynamic region division and region passage identification methods and a cleaning robot. The dynamic region division method includes: acquiring environment information collected by a robot when working in a first region; determining whether the robot has completed a work task in the first region, when a presence of a passage entering a second region is determined based on the environment information; and complementing a boundary at the passage to block the passage, when the work task is not completed. According to the technical solution provided by the embodiment of the present application, the occurrence probability of repeated sweeping and miss sweeping is reduced, and the cleaning efficiency is high. In addition, the technical solution provided by the embodiment of the present application relies on the environment information collected during the work, rather than relying on historical map data, so that the environmental adaptability is high.