Artificial Turf Robot Brushing Based on Turf Grain Direction
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Solution Overview
Problem
Existing artificial turf maintenance methods lack efficiency in accounting for the natural tendency of turf fibers to lie at a slight angle, leading to suboptimal brushing and appearance.
Innovation Solution
A turf maintenance robot that uses turf grain data to determine the direction of brushing, equipped with positioning systems like UWB and optical sensors, and can adjust its trajectory for effective maintenance across different artificial turf surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional brushing methods are used on artificial turf, then the brushing operation can be performed, but the brushing direction does not account for the natural grain of the turf fibers, resulting in suboptimal appearance and fiber standing
Solution Approach 1:
The system performs preliminary actions by mapping the turf grain direction before brushing operations. The robot uses sensors to detect and store grain direction data at different locations, then uses this pre-acquired information to plan and execute brushing paths that follow the natural fiber orientation, ensuring optimal results without adding complexity to the actual brushing mechanism
Solution Approach 2:
The system implements feedback by continuously detecting turf grain direction using optical sensors or cameras during operation. The detected grain information is fed back to the control system, which adjusts the brushing direction in real-time to match the natural fiber orientation, ensuring precise maintenance while adapting to variations in the turf surface
2Productivity
If a self-driving robot with positioning systems is used, then maintenance efficiency and adaptability improve, but the device complexity increases
Solution Approach 1:
The robot system performs multiple functions using integrated components: it navigates using positioning systems (UWB, optical sensors), detects turf grain direction, plans maintenance paths, and executes brushing operations. By combining these functions into a single multi-functional platform, the system achieves high maintenance efficiency without proportionally increasing complexity, as the same hardware serves multiple purposes
Solution Approach 2:
The robot is self-driving and autonomously performs maintenance operations without continuous human intervention. It uses its own positioning systems and sensors to navigate, detect turf conditions, and adjust its operation automatically. This self-service capability improves productivity by enabling continuous autonomous operation while the complexity is managed through automated control algorithms
Data Source
AI summary
A method of maintaining artificial turf using a turf maintenance robot. The artificial turf comprises an artificial turf carpet, wherein the artificial turf carpet comprises turf fibers which form an artificial turf surface. The artificial turf fibers have a grain. The artificial turf comprises artificial turf infill distributed between the artificial turf fibers. The turf maintenance robot is a self-driving robot, wherein the turf maintenance robot comprises a memory for storing turf grain data, descriptive the grain of the artificial turf fibers. The method comprises brushing the artificial turf surface by the turf maintenance robot. The turf maintenance robot performs the brushing dependent upon the turf grain data.