Automated Virtual Artifact Generation via NLP Attribute Mapping

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Solution Overview

Problem

Creating virtual artifacts of complex real-world objects in VR environments is a tedious task requiring specialized skills and significant time, with no efficient method to map functions and designs from real-world object documentation to their virtual counterparts.

Innovation Solution

A method and system for automated virtual artifact generation using natural language processing, where electronic documentation is parsed to determine physical and functional attributes, mapped to virtual attributes, and rendered in a VR environment, with dimensionally scaling and accuracy feedback for optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated virtual artifact generation is implemented, then productivity is improved, but manufacturing precision deteriorates

Engineering Contradiction:

Improvevirtual artifact creation speedVSAvoidattribute mapping accuracy

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system implements feedback mechanisms where the NLP model continuously learns from user corrections and accuracy assessments. User feedback on attribute mapping accuracy is fed back into the system to refine future mappings, allowing the automated process to improve precision over time while maintaining high productivity.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The NLP-based system performs self-correction and self-improvement by automatically learning from user interactions and feedback. The system serves itself by continuously refining its attribute extraction and mapping capabilities without requiring manual reprogramming, thus maintaining both high productivity and improving precision autonomously.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If automated virtual artifact generation is implemented, then ease of operation is improved, but manufacturing precision deteriorates

Engineering Contradiction:

Improvevirtual artifact creation simplicityVSAvoidattribute mapping accuracy

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The system provides feedback loops where users can correct and verify attribute mappings, and these corrections are used to improve future automated mappings. This allows users to operate the system easily while the system progressively achieves higher precision through learned feedback from user interactions.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces complex manual mechanics of attribute mapping with NLP-based automated processing. The natural language processing system substitutes the manual analytical process with automated text analysis, making operation easier while maintaining improving precision through continuous learning from user feedback.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If comprehensive attribute mapping is performed, then reliability is improved, but loss of time worsens

Engineering Contradiction:

Improvevirtual artifact functional accuracyVSAvoiddocumentation processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The NLP system performs preliminary extraction of physical and functional attributes from documentation before the actual virtual artifact creation process. By pre-processing and structuring the documentation data in advance, the system reduces the time required during the main artifact generation phase while ensuring comprehensive attribute mapping for reliability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous useful action by processing documentation and extracting attributes in an uninterrupted automated flow. The NLP-based attribute extraction operates continuously without manual intervention, ensuring comprehensive mapping for reliability while minimizing idle time and maintaining efficient continuous processing.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS10607391B2Automated virtual artifact generation through natural language processing

Publication Date: 2020.03.31 MAPLEBEAR INC

AI summary

Embodiments of the present invention provide a method, system and computer program product for automated virtual artifact generation through natural language processing. In an embodiment of the invention, a method for automated virtual artifact generation includes loading electronic documentation for a real world object into memory of a computer, parsing by a processor of the computer the electronic documentation into different words and storing the different words. The method further includes natural language processing the different words to determine different physical and functional attributes of the real world object, generating a virtual artifact in the memory of the computer based upon a mapping of the physical attributes of the real world object to structural attributes of the virtual artifact and a mapping of the functional attributes of the real world object to functional attributes of the virtual artifact, and rendering the virtual artifact in the virtual reality environment.