AI Avatar for Industrial Robot Error Correction
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Solution Overview
Problem
Industrial robots in automated production lines face challenges in adapting to minor changes in operational parameters, leading to non-regular failure events and interruptions in production. Current error resolution methods are inflexible and costly, often requiring significant human intervention and time.
Innovation Solution
A system that monitors production lines for errors and invokes an AI avatar to investigate and correct errors. The AI avatar collects data, analyzes it to propose corrections, and presents these to a subject matter expert for verification before implementing the corrections in the industrial robot's algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional error resolution methods are used for industrial robots, then human intervention and manual correction are required, but this leads to significant time loss and production interruptions
Solution Approach 1:
The patent implements self-service by enabling the industrial robot to automatically detect errors, gather relevant data, analyze the situation, and propose corrections without requiring human intervention. The robot monitors its own operational parameters, identifies anomalies, and initiates the correction process autonomously, thereby eliminating production interruptions caused by manual error resolution.
Solution Approach 2:
The system performs preliminary actions by proactively monitoring operational parameters and detecting potential errors before they cause production interruptions. The robot continuously gathers data from sensors and analyzes its operational state in advance, preparing correction proposals before actual failures occur, thus preventing time loss during critical production moments.
2Stability of the object's composition
If rigid programming is used for industrial robots, then operational consistency is maintained, but the robots cannot adapt to minor changes in operational parameters
Solution Approach 1:
The patent applies dynamics by transitioning from rigid, fixed programming to a dynamic error correction system. The robot continuously monitors its operational parameters and dynamically adjusts its behavior based on detected anomalies and analyzed corrections. This allows the robot to maintain operational consistency under normal conditions while adapting flexibly to minor parameter changes through real-time self-correction.
Solution Approach 2:
The system implements feedback mechanisms where the robot monitors its operational parameters in real-time, detects deviations from expected behavior, and automatically proposes corrections based on analyzed feedback data. This continuous feedback loop enables the robot to adapt to minor parameter changes while maintaining operational consistency, as the feedback system identifies and corrects deviations autonomously.
3Difficulty of detecting and measuring
If comprehensive error monitoring and analysis systems are implemented, then error detection capability is improved, but system complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional error correction system where a single integrated platform performs multiple functions: monitoring operational parameters, gathering data from various sensors, analyzing errors, and proposing corrections. This universal system consolidates what would otherwise require multiple separate complex subsystems into one cohesive unit, improving error detection capability while managing overall system complexity.
Solution Approach 2:
The system uses copying by creating a virtual representation or model of the robot's operational state that can be analyzed without interfering with the physical robot's operation. The error analysis system works with copied data and simulations, allowing comprehensive error detection and analysis while keeping the physical robot's complexity manageable and isolating the analytical functions in a separate virtual environment.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for industrial robot error correction is provided. The present invention may include monitoring a production line for error conditions; responsive to identifying an error condition in an industrial robot comprising the production line, invoking an AI avatar for the industrial robot; gathering, by the AI avatar, data pertaining to the error condition; analyzing, by the AI avatar, the gathered data to produce a plurality of collated data and/or proposed corrections; presenting, by the AI avatar, the collated data and/or the proposed corrections to a subject matter expert; and modifying algorithms of the industrial robot based on the proposed corrections.