Autonomous Lawn Mower Adaptive Path Overlap Control
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Solution Overview
Problem
Existing autonomous lawn mowers lack efficient and adaptive mechanisms to adjust path overlap based on varying parameters such as path length, ground conditions, and operator preferences, leading to suboptimal performance in terms of efficiency and wear reduction.
Innovation Solution
The autonomous lawn mower is equipped with a computing unit that adjusts path overlap by considering parameters like path length, grass height and density, and operator inputs, allowing for differentiated and adaptive mowing strategies to ensure complete coverage and minimize wear and tear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed overlap is used for all paths, then the control is simple, but the efficiency and wear reduction are suboptimal
Solution Approach 1:
The system dynamically adjusts the overlap parameter based on real-time path characteristics and ground conditions. The computing unit calculates optimal overlap values during operation, transforming the static overlap setting into a dynamic parameter that adapts to varying conditions, thereby improving efficiency without requiring complex manual intervention
Solution Approach 2:
The system implements feedback mechanisms where sensor data about ground conditions and path parameters are continuously fed back to the computing unit. This feedback loop enables automatic adjustment of overlap to optimize both productivity and wear reduction while maintaining relatively simple control architecture
2Reliability
If a large overlap is used, then complete coverage is ensured, but mowing time increases
Solution Approach 1:
The system changes the overlap parameter based on specific conditions such as path length, ground conditions, and grass characteristics. By adjusting this critical parameter dynamically, the system ensures complete coverage where needed while minimizing overlap in areas where it would waste time, thus resolving the contradiction between reliability and time loss
3Productivity
If path-specific parameters are considered, then mowing efficiency is optimized, but the device complexity increases
Solution Approach 1:
The autonomous lawnmower performs self-assessment of path parameters and ground conditions using onboard sensors and computing units. The system serves itself by automatically calculating optimal overlap values without external intervention, achieving improved efficiency while keeping the overall system architecture relatively simple through autonomous decision-making
Data Source
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AI summary
The invention relates to an autonomous working device, in particular an autonomous lawn mower, comprising a computing unit (12). The working device is provided for covering a surface (14) to be treated in strips (16, 18, 20, 22, 24, 26, 28, 30, 32). The computing unit (12) is provided in order to adjust an overlap (34) of the strips (16, 18, 20, 22, 24, 26, 28, 30, 32) according to at least one parameter.