Published Technical Disclosure Archive

Enhanced Future Evolutions & Paradigm Shifts Technical Implementation

Publication ID: 24-11858122_0005_PTD
Published: October 29, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Enhanced Future Evolutions & Paradigm Shifts Technical Implementation,” Published Technical Disclosure No. 24-11858122_0005_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858122_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,858,122.

Summary of the Inventive Concept

An improved approach to future evolutions & paradigm shifts that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but future evolutions & paradigm shifts presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements future evolutions & paradigm shifts enhancements while maintaining compatibility with the original patent's architecture. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation.

Novelty and Inventive Step

Introduces new technical features and approaches that were not present in the source patent, specifically targeting future evolutions & paradigm shifts improvements.

Alternative Embodiments and Variations

Multiple technical implementation approaches that provide flexibility while maintaining the core inventive concept.

Potential Commercial Applications and Market

Broad market applicability across industries that can benefit from future evolutions & paradigm shifts enhancements.

CPC Classifications

SectionClassGroup
B B25 B25J13/087
B B25 B25J9/1664
B B25 B25J9/1674
B B25 B25J9/1697
B B25 B25J19/023
G G05 G05D1/0094
G G06 G06F16/532
G G06 G06F16/95
G G06 G06N3/08

Field of Art

Robotic systems for industrial inspection, specifically automated gas leak detection and facility monitoring, involving computer vision, sensor integration, and autonomous robotic navigation

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with expertise in computer vision, sensor fusion, machine learning, and industrial inspection technologies, typically holding a master's degree in robotics, electrical engineering, or computer science with 3-5 years of practical experience in autonomous robotic systems

Obviousness Rationale

A person skilled in the art would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core technical framework, leveraging known techniques in robotic system design and computer vision to enhance gas leak detection and facility monitoring capabilities. The proposed improvements follow standard engineering problem-solving approaches by introducing incremental technical modifications that build upon the existing robotic inspection system architecture. These variations would be considered routine design choices within the domain of industrial robotic inspection technologies.

Obvious Combinations & Variations

Source Patent Element
Optical gas imaging (OGI) camera and RGB camera for gas leak detection
PTD Variation
Enhanced multi-spectral imaging system with additional sensor modalities and advanced image processing algorithms
Obviousness Reasoning
Integrating additional sensor types and improving image analysis techniques would be a predictable solution for enhancing gas leak detection accuracy, representing a known approach in computer vision and sensor fusion technologies
Source Patent Element
Convolutional neural network (CNN) for gas leak classification
PTD Variation
Advanced machine learning models with improved feature extraction and classification techniques
Obviousness Reasoning
Developing more sophisticated neural network architectures is a standard evolutionary approach in machine learning, with predictable improvements in classification performance
Source Patent Element
Robot system for facility patrolling and inspection
PTD Variation
Extended autonomous navigation capabilities with improved path planning and environmental adaptation algorithms
Obviousness Reasoning
Enhancing robotic navigation and environmental interaction represents a typical engineering optimization process, using known techniques in robotics and artificial intelligence
Source Patent Element
Database-driven historical image comparison for leak detection
PTD Variation
Cloud-integrated, distributed image analysis system with enhanced data management and real-time processing capabilities
Obviousness Reasoning
Transitioning from local to cloud-based data processing is a standard technological evolution, representing a predictable solution for improving system scalability and performance
Source Patent Element
Ground-based robot with sensor integration for industrial inspection
PTD Variation
Modular robotic platform with reconfigurable sensor packages and adaptive inspection protocols
Obviousness Reasoning
Creating flexible, adaptable robotic systems is a well-established design approach in robotics, representing a logical extension of existing technological capabilities
35 U.S.C. § 103 Summary: Based on a comprehensive analysis of US Patent 11858122 and the corresponding Published Technical Disclosure, a person having ordinary skill in the art would find the disclosed technical variations obvious and predictable extensions of the existing robotic inspection system, thereby rendering potential derivative patent claims obvious under 35 U.S.C. Section 103 and established legal precedent in non-obvious technological innovation.

Original Patent Information

Patent NumberUS 11,858,122
TitleGround based robot with an OGI camera with computer vision to automate the inspection
Assignee(s)MFE Enterprises, Inc.