Robotic Lawn Mower Path Planning for Full-Coverage Arcuate Mowing
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Solution Overview
Problem
Current robotic lawn mowers employ random path planning, leading to issues such as missing or repetitive mowing, resulting in low working area coverage and mowing efficiency.
Innovation Solution
A mowing method and apparatus that determine a current mowing direction different from the historical direction, generate a mowing route following parallel arcuate paths based on the grass region, mowing mode, and current direction, and control the robotic lawn mower to perform the mowing operation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If random path planning is employed, then the robotic lawn mower can operate autonomously, but the working area coverage is low and mowing efficiency is reduced
Solution Approach 1:
The mowing area is divided into multiple sub-regions, and the robotic lawn mower systematically visits each sub-region in sequence. This segmentation ensures complete coverage of the working area while maintaining autonomous operation, directly resolving the contradiction between productivity and reliability.
Solution Approach 2:
The system pre-calculates and plans the optimal mowing path before execution, dividing the grass area into structured zones and determining the sequence of visits. This preliminary action eliminates random movement, ensuring both complete coverage and efficient resource utilization.
2Adaptability or versatility
If random path planning is used, then the robotic lawn mower can adapt to different lawn shapes, but missing or repetitive mowing occurs
Solution Approach 1:
The path planning system dynamically adjusts the mowing path based on the detected lawn boundaries and shape characteristics. By combining adaptive segmentation with systematic traversal, the system maintains high precision in covering the exact lawn area while adapting to various shapes and sizes.
Solution Approach 2:
The system changes the path planning parameters based on the specific lawn geometry detected during operation. By adjusting segmentation granularity and traversal patterns according to lawn shape parameters, the system achieves both adaptability to different shapes and precision in mowing path execution.
Data Source
AI summary
Embodiments of the present disclosure disclose a mowing method and apparatus, a robotic lawn mower, and a storage medium. The method includes: determining a current mowing direction of a robotic lawn mower according to a historical mowing direction in response to a mowing trigger request for the robotic lawn mower, the current mowing direction being different from the historical mowing direction; obtaining a preset grass region to be mowed; generating a mowing route following parallel arcuate paths pattern for traveling in the current mowing direction based on the grass region to be mowed, and a mowing mode and the current mowing direction of the robotic lawn mower; and controlling the robotic lawn mower to perform a mowing operation based on the mowing route following parallel arcuate paths pattern.