Crowd Robot User Tracking with Tag Position Correction

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Solution Overview

Problem

Robots used for user tracking in spaces like supermarkets and airports face challenges with signal distortion and measurement failures, leading to inaccuracies in tracking user positions.

Innovation Solution

A robot system that uses a controller to store and correct position information of a tag device based on position estimation from surrounding crowd robots, employing sensors and Bluetooth modules to generate a moving route and improve tracking accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a robot tracks user position using direct signal measurement, then the tracking system is simple, but signal distortion and measurement failures occur leading to low tracking accuracy

Engineering Contradiction:
Improvetracking accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces crowd robots as intermediary devices that relay position information. Instead of direct tracking between the target robot and tag device, multiple crowd robots collect and transmit position data, serving as mediators to overcome signal distortion issues in direct measurement paths.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent combines position information from multiple crowd robots into a unified tracking system. By merging data from multiple sources (different crowd robots surrounding the tag device), the system achieves higher measurement accuracy while managing complexity through integrated processing.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If position information from multiple crowd robots is collected and processed, then tracking accuracy is improved, but the complexity of data processing and system coordination increases

Engineering Contradiction:
Improveposition information accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Each crowd robot autonomously collects and processes position information independently, then transmits data to the target robot. This self-service approach distributes processing complexity across multiple simple units rather than requiring one complex centralized processor, managing overall system complexity while achieving accurate position tracking.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11565415B2Method of tracking user position using crowd robot, tag device, and robot implementing thereof
Publication Date: 2023.01.31 LG ELECTRONICS INC
  • US11565415B2 patent drawing
  • US11565415B2 patent drawing
  • US11565415B2 patent drawing

AI summary

A method of tracking a user position using a crowd robot, a tag device, and a robot implementing the same are disclosed, and the robot includes a controller, which cumulatively stores position information of a tag device, generates a moving route corresponding to the stored position information of the tag device, and corrects the position information of the tag device based on position estimation information of a crowd robot around the tag device sent from the tag device.