Handling System Optimizes Picking via History-Based Settings

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional picking systems face inefficiencies in adjusting operation settings based on the characteristics of various items and individual robots, leading to suboptimal picking operations due to inadequate responses to changes over time.

Innovation Solution

The system updates operation setting information based on operation history records, adjusting parameters such as moving speed and acceleration of the holding unit to improve picking efficiency by determining whether to update settings collectively for similar items and robots.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If operation settings are manually adjusted for each item and robot combination, then picking efficiency can be optimized, but the complexity and time required for setup and maintenance increases

Engineering Contradiction:
Improvepicking efficiencyVSAvoidsetup and maintenance complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system automatically determines optimal operation settings by analyzing operation history records and robot characteristics without requiring manual intervention. The setting determination unit autonomously processes data from multiple sources to generate appropriate settings for each robot-item combination, eliminating the need for manual setup while maintaining optimization.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts operation parameters such as moving speed and acceleration based on analyzed characteristics of robots and items. By changing parameters adaptively rather than using fixed manual settings, the system achieves optimization for each specific robot-item combination while reducing setup complexity through automated parameter determination.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If operation settings are customized for each robot and item combination, then picking reliability improves, but the time required for configuration increases

Engineering Contradiction:
Improvepicking reliabilityVSAvoidconfiguration time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of robot characteristics and operation history records to pre-determine optimal operation settings before actual picking operations occur. By preparing and storing settings in advance based on analyzed data patterns, the system achieves reliable customized settings without requiring time-consuming manual configuration during operation setup.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system utilizes operation history records as feedback to continuously improve and refine operation settings. By analyzing past performance data and robot characteristics, the setting determination unit automatically adjusts settings to maximize reliability for each robot-item combination, eliminating the need for manual trial-and-error configuration.

Inventive Principle:
Principle #23Feedback

3Productivity

If the system responds to changes in robot and item characteristics, then picking operation quality improves, but the system complexity increases

Engineering Contradiction:
Improvepicking operation qualityVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system automatically monitors and analyzes changes in robot characteristics and operation history to self-adjust operation settings. The setting determination unit autonomously processes new data and updates settings without external intervention, enabling the system to respond to changes while managing complexity through automated rather than manual adjustment mechanisms.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adapts operation settings based on changing robot and item characteristics rather than using static predetermined settings. By making the system flexible and adaptive through automated analysis of operation history and robot data, it responds to changes effectively while containing complexity within the automated determination framework.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20240320620A1Handling system, information processing device, method, storage medium, and information processing system
Publication Date: 2024.09.26 KK TOSHIBA
  • US20240320620A1 patent drawing
  • US20240320620A1 patent drawing
  • US20240320620A1 patent drawing

AI summary

According to an embodiment, a handling system that handles an object is provided. The handling system has a holding unit, a storage unit, and a processing unit. The holding unit holds the object. The storage unit stores operation setting information and operation history information. The operation setting information associates first information entailed in the holding operation in which the holding unit holds the object, with second information including an operation setting for operating the holding unit. The operation history information includes operation records of the holding unit. The processing unit controls an operation of the holding unit on the basis of the operation setting information. The processing unit updates the operation history information on the basis of operation records of the operation. The processing unit determines whether to update the operation setting information on the basis of the updated operation history information.