Autonomous Ball Collection Using Density-Based Route Prioritization
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Solution Overview
Problem
Conventional scattered object collection systems, such as golf ball collectors, inefficiently traverse areas without considering actual ball distribution, leading to high energy consumption and increased costs due to unnecessary travel and low ball supply efficiency.
Innovation Solution
An autonomous collector system that uses positional information from GPS and sensors to identify the exact location of collected objects, creating a density map to prioritize high-density areas for collection, reducing unnecessary travel and optimizing collection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the autonomous collector travels all over the work area to collect scattered objects, then the collection coverage is improved, but the energy consumption increases and collection efficiency decreases
Solution Approach 1:
The system performs preliminary detection of scattered object distribution before the collection operation begins. The detection unit scans the work area to identify object locations and densities in advance, creating a distribution map that guides the subsequent collection path planning, thereby avoiding unnecessary travel to empty areas
Solution Approach 2:
The system continuously updates the scattered object distribution information based on detection unit feedback during operation. The collection path is dynamically adjusted according to real-time detection data, allowing the collector to adapt to changing object distributions and optimize its route continuously
2Area of stationary object
If the autonomous collector travels all over the work area to collect scattered objects, then the collection coverage is improved, but the collection efficiency decreases
Solution Approach 1:
The system performs preliminary detection of scattered object distribution before the collection operation begins. The detection unit scans the work area to identify object locations and densities in advance, creating a distribution map that guides the subsequent collection path planning, thereby avoiding unnecessary travel to empty areas
Solution Approach 2:
The system continuously updates the scattered object distribution information based on detection unit feedback during operation. The collection path is dynamically adjusted according to real-time detection data, allowing the collector to adapt to changing object distributions and optimize its route continuously
3Reliability
If the number of balls in stock is increased to meet customer demands, then the ball supply reliability is improved, but the storage cost and operational complexity increase
Solution Approach 1:
The autonomous collector operates independently to continuously replenish the ball supply in the hitting bay. The system autonomously navigates, detects ball locations, collects scattered balls, and returns them to the storage area, eliminating the need for manual restocking and large inventory buffers
Data Source
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AI summary
Provided is a highly reliable, cost-effective scattered object collection system that can determine the correct position of each scattered object on the ground, such as a ball, and efficiently collect scattered objects by reducing unnecessary traveling of an autonomous collector. The scattered object collection system includes an autonomous collector 1 that performs a collecting operation by picking up balls B while traveling in a work area W and a collector management unit 80 that manages the autonomous collector 1. The collector management unit 80 acquires positional information on the autonomous collector 1, identifies an actual position where each ball B was picked up in the work area W using the acquired positional information, and allows the autonomous collector 1 to perform a collecting operation in a place having a high density of balls B with higher priority than a place having a low density of balls B using the identified actual positional information on each ball B.