Service Robot User Classification for Retail Guest-Host Differentiation

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Solution Overview

Problem

Current robots in retail environments cannot effectively distinguish between customers and workers, leading to inadequate service provision.

Innovation Solution

A robot equipped with a camera, microphone, and sensing unit, utilizing a processor to calculate clothing information, location, and entry time of users, determines whether they are guests or hosts, and tailors services based on these determinations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If a robot is deployed in a store to provide services, then service automation is improved, but the robot cannot distinguish between customers and workers leading to inadequate service differentiation

Engineering Contradiction:
Improveservice automationVSAvoidservice differentiation capability
Core Design Contradiction:
Extent of automationVSAdaptability or versatility

Solution Approach 1:

The patent replaces manual identification methods with automated sensing systems. The robot uses a sensing unit to detect users and a processor to analyze sensing information, thereby automatically distinguishing between customers and workers without mechanical human intervention. This substitution enables the robot to provide differentiated services based on user type while maintaining high automation levels.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If the robot uses multiple sensing methods to identify users, then identification accuracy is improved, but device complexity increases

Engineering Contradiction:
Improveuser identification accuracyVSAvoidsensing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple sensing methods (camera, microphone, and other sensors) into a unified sensing unit. The processor integrates information from various sensing sources to comprehensively identify users. This merging approach maintains high identification accuracy while managing system complexity through integrated design rather than separate independent systems.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11087425B2Robot and service providing method thereof
Publication Date: 2021.08.10 LG ELECTRONICS INC
  • US11087425B2 patent drawing
  • US11087425B2 patent drawing
  • US11087425B2 patent drawing

AI summary

Provided are a robot and a service providing method performed by a processor included in the robot. The provided robot calculates clothing information of a first user who is in the space, location information of the first user in the space, and space entry time information of the first user on the basis of at least one of images of an internal space, sound generated in the internal space, and information of the internal space, determines whether the first user is a guest or a host based on the calculated information, determines whether the first user who has been determined as the guest is a first guest who stays in the space for a short time period or a second guest who stays in the space for a long time period, and determines a type of service provided by the robot based on a result of the determination.