Swimming Pool Cleaning Robot Path Planning for Missed Areas
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Solution Overview
Problem
Current swimming pool cleaning robots employ parallel round-trip sweeping paths that result in repeated sweeping and prolonged cleaning times due to overlapping paths, reducing efficiency.
Innovation Solution
A method involving acquiring map information, planning an initial sweeping path based on set parameters, performing the initial sweep, and then conducting supplementary sweeps in missed areas to ensure complete coverage without redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If parallel round-trip sweeping paths are employed to achieve high coverage traversal, then sweeping coverage rate is improved, but sweeping time is prolonged and redundant sweeping paths increase
Solution Approach 1:
The system performs preliminary actions by planning multiple candidate sweeping paths in advance and identifying missed areas before actual sweeping begins. The path planning module pre-calculates optimal paths and identifies areas that may be missed, allowing the robot to adjust its sweeping strategy proactively rather than reactively, thereby reducing redundant sweeping and total sweeping time.
Solution Approach 2:
The sweeping path is made dynamic through the path planning module that can adjust and optimize paths during operation. The system dynamically identifies missed areas and recalculates optimal paths in real-time, transforming the static parallel round-trip path into an adaptive path that responds to actual cleaning needs, reducing both time and redundancy.
2Manufacturing precision
If parallel round-trip sweeping paths are employed, then sweeping coverage rate is improved, but redundant sweeping paths increase
Solution Approach 1:
The system implements feedback mechanisms where the sweeping path planning module continuously monitors the cleaning progress and identifies missed areas. Based on this feedback, the system adjusts the sweeping path to eliminate redundant coverage while ensuring complete coverage of all areas, thereby maintaining high coverage rate without excessive redundancy.
Solution Approach 2:
By pre-planning multiple candidate paths and identifying missed areas before sweeping begins, the system can optimize the path to minimize redundancy from the start rather than correcting it during operation, reducing wasted sweeping paths while maintaining complete coverage.
Data Source
AI summary
The present application discloses a sweeping method of a swimming pool cleaning robot and a cleaning robot, the method including: acquiring map information about an area to be cleaned; planning a first sweeping path based on the map information, the first sweeping path meeting pre-set cleaning parameter requirements; controlling the cleaning robot to travel and perform a cleaning operation based on the first sweeping path; determining whether the cleaning operation is ended, and if so, controlling the cleaning robot to travel to a missed area so as to perform supplementary sweeping. This application can improve sweeping coverage rate and sweeping efficiency.