Robot Elevator Selection via Efficiency and Cooperativeness Scoring

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Solution Overview

Problem

Automatic traveling robots face challenges in using elevators and other transport machines due to their weight, often obstructing general users' usage, and existing systems do not adequately consider the robot's state or the impact on other users.

Innovation Solution

An information processing device and system that includes a data processing section to select a transport machine by calculating scores based on robot and transport-machine information, considering efficiency and cooperativeness, to ensure smooth travel without excessive obstruction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If an automatic traveling robot uses a shared elevator, then the robot can travel to deliver items, but the robot's heavy weight obstructs general users from using the elevator

Engineering Contradiction:
Improverobot travel efficiencyVSAvoidelevator accessibility for general users
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system changes the parameter of elevator selection by calculating scores based on weight capacity, current load, and usage patterns. The robot management server dynamically adjusts which elevator the robot uses by evaluating multiple parameters including the robot's weight, elevator capacity, and general user needs, thereby resolving the contradiction between robot productivity and user accessibility

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The robot management server acts as an intermediary between the robot and the elevators. It receives elevator operation information, calculates appropriate elevators based on robot information and elevator status, and transmits control signals to select the optimal elevator. This intermediary function balances robot travel needs with general user accessibility

Inventive Principle:
Principle #24Intermediary (Mediator)

2Speed

If the robot uses any available elevator, then the robot can travel quickly, but the robot may excessively obstruct general users' usage

Engineering Contradiction:
Improverobot travel speedVSAvoidobstruction to general users
Core Design Contradiction:
SpeedVSObject-generated harmful factors

Solution Approach 1:

The system implements feedback by continuously monitoring elevator operation information, robot information, and usage patterns. The robot management server calculates scores based on this feedback data and adjusts elevator selection dynamically. This feedback mechanism ensures the robot travels efficiently while minimizing obstruction to general users through adaptive decision-making

Inventive Principle:
Principle #23Feedback

3Ease of operation

If a dedicated robot elevator is provided, then the robot can travel without obstructing users, but the system complexity and cost increase

Engineering Contradiction:
Improveelevator availability for general usersVSAvoidtransport system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system applies universality by enabling general elevators to serve dual purposes: transporting both general users and the delivery robot. Through intelligent control and scoring mechanisms, the same elevator infrastructure is used for multiple functions, avoiding the need for dedicated robot elevators while maintaining ease of operation for general users

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250111312A1Information processing device, information processing system, information processing method, and program
Publication Date: 2025.04.03 SONY GROUP CORP
  • US20250111312A1 patent drawing
  • US20250111312A1 patent drawing
  • US20250111312A1 patent drawing

AI summary

Implemented is a configuration for deciding a transport machine into which a robot get, by taking efficiency and cooperativeness into consideration. A data processing section that selects a transport machine to be taken by a robot is included. The data processing section acquires robot information that is about the robot and transport-machine information that is about the transport machine, calculates scores corresponding to a plurality of available transport machines on the basis of the acquired information, and selects a transport machine to be used on the basis of the calculated scores. In a case where two or more transport machines satisfy a physical condition for permitting the robot to take the transport machines, the data processing section calculates an efficiency calculation value and a cooperativeness calculation value based on the robot information and the transport-machine information, and calculates scores on the basis of a function using the calculated efficiency calculation value and the calculated cooperativeness calculation value.