Article Retrieval System with Adaptive Detection for Diverse Storage States
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Solution Overview
Problem
Existing article retrieval systems using robots struggle to accurately detect and retrieve articles from storage containers when articles are stored in various states, as they rely on a single measurement and detection method, which is inefficient and inaccurate for diverse conditions.
Innovation Solution
An article retrieval system that includes a sensor for measuring article states, an article detection part, a handling part for retrieval, and a controller with a space dividing unit to divide the space based on measured states and a switching unit to adjust measurement, detection, and retrieval methods for each space, allowing for optimized detection and retrieval of articles in different states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single measurement and detection method is used for all articles in the storage container, then the system structure remains simple, but the detection accuracy and retrieval efficiency deteriorate when articles are stored in various states
Solution Approach 1:
The storage container space is divided into multiple regions based on article states (e.g., stacked articles vs. non-stacked articles). Different measurement and detection methods are applied to each region. For example, articles in the first region may be detected using one method while articles in the second region use another method, allowing optimized detection for each state without requiring a completely complex system redesign.
Solution Approach 2:
The system assigns different detection and retrieval methods to different spatial regions based on local article characteristics. Each region has customized measurement parameters and handling approaches tailored to the specific state of articles in that region, improving overall detection accuracy while maintaining reasonable system complexity through localized optimization rather than global complexity.
2Productivity
If multiple measurement and detection methods are implemented for different article states, then the retrieval efficiency improves, but the device complexity increases
Solution Approach 1:
The system segments the detection and retrieval processes into multiple methods corresponding to different article states. By dividing the storage space into regions with different article characteristics, the system can apply specialized retrieval methods to each region, improving overall productivity without requiring the entire system to be redesigned for every possible article state.
Solution Approach 2:
The system dynamically selects and switches between different measurement and detection methods based on the detected article states in each region. This dynamic adaptation allows the system to optimize retrieval efficiency for each specific situation while maintaining a unified system architecture, avoiding the need for multiple complete separate systems.
3Adaptability or versatility
If the system adapts measurement and detection methods to specific spaces, then the ability to handle various article states improves, but the control complexity increases
Solution Approach 1:
The control system divides the storage container into multiple regions based on article states and assigns different measurement and detection methods to each region. This segmentation allows the system to adapt to various article states in a structured manner, improving versatility while keeping control complexity manageable through regionalization rather than requiring complex global control for every possible state.
Solution Approach 2:
The system implements local quality control by tailoring measurement and detection parameters to specific regions based on article characteristics in those regions. Each region has customized control parameters optimized for its local article state, improving adaptability while maintaining overall system manageability through localized rather than globally complex control strategies.
Data Source
AI summary
Provided is an article retrieval system including: a sensor that measures the states of articles stored in a storage container; an article detection part for detecting the articles on the basis of the states of the articles measured by the sensor; handling part for retrieving the articles or changing the positions and/or orientations of the articles detected by the article detection part; and a controller that controls the sensor, the article detection part, and the handling part. The controller includes: a space dividing part for dividing the space in which the articles exist according to the states of the articles measured by the sensor; and a switching part for switching at least one of a method of measurement with the sensor, a method of detection with the article detection part, and a method of retrieval with the handling part in each of the spaces divided by the space dividing part.