Transport Robot Partitioned Storage and AI Cover Driver

Solution Overview

Problem

Conventional article transport systems do not effectively partition the cargo compartment to separate articles by type and priority, leading to potential jumbling and inefficient delivery.

Innovation Solution

A 5G network-based transport robot with a partitioned storage area and a cover driver system that uses AI and machine learning to manage and secure articles by partitioning the storage area into unit storage areas, allowing for efficient loading and delivery based on priority and type.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the cargo compartment is not partitioned, then the structure is simple and easy to manufacture, but articles may jumble and cannot be delivered by priority

Engineering Contradiction:

Improvedelivery efficiencyVSAvoidcargo compartment structure

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The cargo compartment is divided into multiple unit storage areas using partitions, allowing articles to be separated and organized by priority levels. This segmentation enables the system to deliver articles efficiently according to priority while maintaining a relatively simple overall structure.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If the cargo compartment is partitioned into unit storage areas, then articles can be organized by priority and type, but the structure becomes more complex

Engineering Contradiction:

Improvearticle loading and deliveryVSAvoidpartition and cover system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The cargo compartment is divided into multiple unit storage areas using partitions, allowing articles to be separated and organized by priority levels. This segmentation enables the system to deliver articles efficiently according to priority while maintaining a relatively simple overall structure.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The cover system is designed to cover multiple unit storage areas simultaneously, with a single cover capable of protecting several partitions. This multi-functionality reduces the total number of covers needed, simplifying the overall structure while maintaining operational efficiency.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If covers are provided for each unit storage area, then articles are securely protected, but the device complexity increases

Engineering Contradiction:

Improvearticle protectionVSAvoidcover driver system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The cover system is designed to cover multiple unit storage areas simultaneously, with a single cover capable of protecting several partitions. This multi-functionality reduces the total number of covers needed, simplifying the overall structure while maintaining operational efficiency.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

Multiple covers are combined into a single integrated cover assembly that can protect multiple unit storage areas at once. This merging reduces the number of individual cover components and simplifies the cover driver system while ensuring reliable protection of articles.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS11679934B2Transporting robot and method for operating the same

Publication Date: 2023.06.20 LG ELECTRONICS INC

AI summary

A transport robot is disclosed. The transport robot may include a cover driver, a power supply, and a processor. The transport robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may communicate with other electronic devices in a 5G communication environment. As a result, user convenience may be improved.