AI Guidance Robot Relocation for Balanced Service Coverage

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Solution Overview

Problem

Robots tend to concentrate in specific areas, leading to inefficient service distribution and guidance in crowded environments like airports, where users may face difficulties accessing information due to the lack of robots in other areas.

Innovation Solution

A robot system that measures distances between robots and moves external robots to areas where they are concentrated or where guidance is needed, based on situation and position information of users, to ensure even distribution and efficient service provision.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If robots are concentrated in a specific area to provide guidance services, then service quality in that area is improved, but robot distribution becomes unbalanced and guidance cannot be provided in areas without robots

Engineering Contradiction:
Improveguidance service availabilityVSAvoidrobot distribution flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic robot relocation where robots automatically move from areas with excessive concentration to areas requiring guidance services. The system continuously monitors robot distribution and user demand, enabling robots to adapt their positions in real-time based on changing conditions, thus resolving the contradiction between maintaining service quality and achieving balanced distribution.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms by detecting robot concentration levels and user guidance needs, then using this information to trigger automatic relocation decisions. This closed-loop control ensures that robots maintain optimal distribution across different areas while continuously providing reliable guidance services wherever needed.

Inventive Principle:
Principle #23Feedback

2Area of stationary object

If multiple robots are deployed to cover various areas, then guidance service coverage is improved, but robot congestion occurs in specific areas leading to inefficient service distribution

Engineering Contradiction:
Improveservice coverage areaVSAvoidservice distribution efficiency
Core Design Contradiction:
Area of stationary objectVSProductivity

Solution Approach 1:

The system dynamically adjusts robot positions based on real-time detection of area coverage needs and current robot locations. When an area requires guidance services, robots automatically relocate from congested areas, ensuring optimal coverage without congestion while maintaining high service distribution efficiency across the entire facility.

Inventive Principle:
Principle #15Dynamics

3Reliability

If robots remain stationary in fixed positions, then service provision in those positions is maintained, but users face difficulties accessing information in areas where robots are not located

Engineering Contradiction:
Improveservice consistencyVSAvoiduser access convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system enables robots to autonomously detect when guidance services are needed in specific areas and automatically relocate themselves without human intervention. This self-service capability ensures that robots maintain consistent service quality while simultaneously improving user access convenience by being present wherever guidance is required.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11449074B2Robot for providing guidance service using artificial intelligence and method of operating the same
Publication Date: 2022.09.20 LG ELECTRONICS INC
  • US11449074B2 patent drawing
  • US11449074B2 patent drawing
  • US11449074B2 patent drawing

AI summary

A robot for providing a guidance service using artificial intelligence. The robot measures distances between external robots and the robot and, based on the measured distances, determines that robots are concentrated in a specific area. Based on the determination that robots are concentrated in the specific area, the robot moves some of the external robots to the specific area.