Robot Object Data Layer Sharing for Cooperative Task Execution

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Solution Overview

Problem

There is a need for efficient data sharing among robot devices in a shared space to enhance their operational efficiency and cooperation, particularly in classifying and transmitting object data based on user commands and environmental conditions.

Innovation Solution

A robot device capable of classifying sensing data into object data layers based on object properties and selectively sharing these data with other devices, allowing for targeted function execution in specific areas as commanded by users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If each robot device independently obtains and classifies all sensing data, then each device can autonomously execute functions, but the system complexity and data processing burden increase significantly

Engineering Contradiction:

Improveautonomous function executionVSAvoiddata processing burden

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides sensing data into multiple data layers based on object properties (e.g., movable objects, immovable objects, living creatures). Each robot device can selectively access and process only the data layers relevant to its specific function, rather than processing all raw sensing data. This segmentation reduces computational burden while maintaining autonomous execution capability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a data sharing system where classified object data is stored and managed as an intermediary between sensing devices and robot devices. This intermediary layer pre-processes and organizes data into structured layers, allowing robot devices to efficiently retrieve only the information they need without independently performing full data classification and processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If all sensing data is shared among all robot devices, then comprehensive information is available, but data transmission volume and network load increase

Engineering Contradiction:

Improveinformation availabilityVSAvoiddata transmission volume

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

Sensing data is segmented into multiple data layers based on object properties and characteristics. Each data layer contains information about specific types of objects (e.g., movable objects, immovable objects, living creatures). This segmentation allows robot devices to selectively receive and process only the data layers relevant to their functions, reducing overall data transmission volume while ensuring comprehensive information availability when needed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different data layers are distributed to different robot devices based on their specific functional requirements. Each robot device receives a customized subset of data layers tailored to its operational needs, rather than receiving all sensing data uniformly. This local quality approach optimizes network efficiency by transmitting only necessary information to each device.

Inventive Principle:

Principle #3Local quality

3Productivity

If robot devices share data in real-time, then cooperative execution is improved, but communication overhead and energy consumption increase

Engineering Contradiction:

Improvecooperative execution efficiencyVSAvoidcommunication energy

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements a data sharing mechanism where classified object data is updated and transmitted periodically or on-demand rather than continuously in real-time. Robot devices can query and retrieve updated data layers when needed for cooperative task execution, reducing constant communication overhead and energy consumption while maintaining effective collaboration.

Inventive Principle:

Principle #19Periodic action

4Manufacturing precision

If detailed object data is classified and shared, then function execution precision is improved, but data processing time and computational resources increase

Engineering Contradiction:

Improvefunction execution precisionVSAvoiddata processing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

Sensing data is pre-classified into multiple data layers based on object properties before being shared with robot devices. This preliminary classification organizes data into structured categories (movable objects, immovable objects, living creatures, etc.), allowing robot devices to quickly retrieve and process only the relevant information needed for their specific functions, thereby reducing real-time processing time while maintaining execution precision.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11440189B2Method and robot device for sharing object data

Publication Date: 2022.09.13 SAMSUNG ELECTRONICS CO LTD

AI summary

Provided are a method and robot device for sharing object data. The method, performed by a robot device, of sharing object data includes: obtaining sensing data related to objects in a certain space; classifying the obtained sensing data into a plurality of pieces of object data based on properties of the objects; selecting another robot device from among at least one other robot device; selecting object data to be provided to the selected robot device from among the classified plurality of pieces of object data; and transmitting the selected object data to the selected robot device, wherein the classifying of the sensing data into a plurality of pieces object data includes generating a plurality of data layers including the classified plurality of pieces of object data.