Robot Resource Planning for Multi-Service Mobile Operations

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Solution Overview

Problem

Existing systems fail to provide a quantitative understanding of the necessary resources required for autonomous mobile robots to perform various tasks based on task time and shift requirements.

Innovation Solution

An information providing system and method that calculates resource information for autonomous mobile robots and their accessory units by inputting information about the units, operation time, and service types, using machine learning models to determine the required resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If existing systems are used for autonomous mobile robots, then the robots can perform various tasks, but users cannot quantitatively understand the necessary resources required for task execution

Engineering Contradiction:
Improveinformation about necessary resourcesVSAvoidresource calculation system
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

An information providing system acts as an intermediary between the autonomous mobile robot system and users. This mediator receives input information about task requirements and robot configurations, processes it through calculation processing, and outputs quantitative resource information. The intermediary transforms complex internal resource requirements into comprehensible external information without modifying the robot system itself.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual or mechanical resource estimation methods with automated calculation processing. Instead of users manually calculating or guessing resource requirements, the system uses automated processing to compute quantitative resource information based on input parameters, substituting human cognitive effort with computational algorithms.

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

2Reliability

If detailed resource information is provided for autonomous mobile robots, then users can make informed decisions, but the system complexity increases

Engineering Contradiction:
Improvedecision-making accuracyVSAvoidinformation processing system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary calculation processing to determine resource requirements before actual robot deployment or task execution. By calculating and providing resource information in advance, users can make informed decisions about robot introduction and usage without facing the complexity of real-time resource analysis during operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The information providing system creates a virtual model or copy of the robot system's resource requirements through calculation processing. Instead of physically measuring or experimenting with different configurations, the system generates a computational representation of resource needs based on input parameters, allowing users to analyze decisions without physical trial and error.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250348812A1Information providing system and information providing method
Publication Date: 2025.11.13 TOYOTA JIDOSHA KK
  • US20250348812A1 patent drawing
  • US20250348812A1 patent drawing
  • US20250348812A1 patent drawing

AI summary

The information providing system according to the present disclosure inputs input information including information on a plurality of robot accessory units that enable a mobile robot to execute a plurality of different services by being used in combination with a mobile robot that moves autonomously, information on a time period in which the mobile robot operates, and information on a type of a required service. On the basis of the input information, the information providing system performs a calculation process of calculating resource information, which is information related to a resource amount of the mobile robot and the plurality of robot accessory units required for the service, and outputs a result calculated in the calculation process.