Multi-Robot Message Standardization With Missing Status Estimation

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Solution Overview

Problem

Existing systems struggle to efficiently integrate and control multiple types of robots with different message formats, leading to inconsistencies and data gaps in status and command messages.

Innovation Solution

An integrated control system with a robot message standardization server and a robot data processing server that converts messages between unique and standard formats using a standardization protocol, and estimates missing status data based on user command history.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple types of robots with different message formats are integrated into a single control system, then the system's versatility and adaptability improve, but the device complexity and difficulty of data integration increase

Engineering Contradiction:

Improverobot type compatibilityVSAvoidmessage format integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a message standardization server as an intermediary component between diverse robots and the central control system. This server receives messages in various robot-specific formats, standardizes them into a unified format, and forwards them to the control system. This mediator approach resolves the contradiction by enabling multi-robot compatibility without directly increasing the complexity of the central control system's message handling logic.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system architecture is segmented into distinct functional modules: robot message standardization server, robot data processing server, and control system. Each module handles specific tasks independently - the standardization server manages format conversion, the data processing server handles data analysis, and the control system executes commands. This segmentation isolates complexity to specific components rather than distributing it throughout the entire system.

Inventive Principle:

Principle #1Segmentation

2Loss of information

If all status data fields are required in standard format messages, then data completeness improves, but robots with inherently missing status data cannot be properly integrated

Engineering Contradiction:

Improvestatus data completenessVSAvoidrobot type compatibility

Core Design Contradiction:

Loss of informationVSAdaptability or versatility

Solution Approach 1:

The system accepts that not all robots will provide all status data fields. Instead of requiring complete data from every robot (excessive action), the system processes the partial data that is available and uses estimation techniques to infer missing values. This partial action approach allows robots with limited status data capabilities to be integrated while still maintaining overall data completeness through estimation.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system implements a feedback mechanism where the control system identifies missing status data fields and requests additional information or uses estimation based on available data and historical patterns. This feedback loop ensures that data completeness is maintained through active management rather than passive requirement enforcement.

Inventive Principle:

Principle #23Feedback

3Loss of information

If status data is estimated based on user command history, then data completeness improves, but the system requires additional processing time and computational resources

Engineering Contradiction:

Improvemissing status data recoveryVSAvoiddata processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by maintaining user command history and robot status history in advance. When status data is missing, the estimation process can quickly reference pre-collected historical data rather than gathering information in real-time. This preliminary data collection reduces the time required for estimation during actual operation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates copies of historical data patterns and uses them to estimate missing status data. Instead of performing complex real-time analysis, the system replicates past behavior patterns to infer current missing values, significantly reducing computational time and resources while maintaining estimation accuracy.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20260064114A1Multi-type robot integrated control and monitoring system and method performing missing state data estimation

Publication Date: 2026.03.05 BIGWAVE ROBOTICS CORP

AI summary

Disclosed is an integrated control system for multiple types of robots includes: a robot message standardization server configured to transmit and receive status and command messages in unique format to and from multiple types of robots; and a robot data processing server configured to transmit and receive status and command messages in a standard format to and from the robot message standardization server. The robot message standardization server receives status messages in the unique format from the multiple types of robots, converts the status messages in the unique format into status messages in the standard format according to a standardization protocol, and transmits the status messages in the standard format to the robot data processing server.