Enhanced Future Evolutions & Paradigm Shifts Technical Implementation

Publication ID: 24-11858149_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. 24-11858149_0005_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858149_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. 11,858,149.

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

Section	Class	Group
B	B25	B25J9/1697
B	B25	B25J9/1664

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Robotics and Autonomous Systems, specifically robot localization and navigation technologies involving image processing, machine learning, and spatial positioning techniques

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with expertise in computer vision, machine learning, sensor fusion, and robotic navigation systems, holding a master's or PhD in robotics, mechanical engineering, or computer science with 3-5 years of practical experience in autonomous system design

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core robotic localization methodology by introducing incremental technical improvements that leverage known machine learning and image processing techniques. The proposed enhancements align with standard evolutionary design practices in autonomous robotics, where iterative refinements of positioning and perception algorithms are commonplace. These variations would be considered obvious combinations of existing technical knowledge within the field of robotic navigation and localization.

Obvious Combinations & Variations

Source Patent Element

Image-based robot localization using trained machine learning models

PTD Variation

Enhanced machine learning model architectures with expanded training data sets and multi-perspective image acquisition strategies

Obviousness Reasoning

Predictable optimization of existing machine learning localization techniques through expanded training data and refined model architectures, representing a known approach to improving perception systems

Source Patent Element

Reference image collection for robot positioning

PTD Variation

Dynamic reference image generation with increased angular resolution and adaptive sampling techniques

Obviousness Reasoning

Routine engineering design choice to improve spatial resolution and accuracy of reference image collections using well-established computer vision methodologies

Source Patent Element

Rotation-based image acquisition method

PTD Variation

Advanced rotation strategies incorporating sensor fusion and multi-modal positioning techniques

Obviousness Reasoning

Obvious extension of existing rotation methods by integrating complementary sensing technologies, representing a standard approach to enhancing robotic perception capabilities

Source Patent Element

Global positioning determination using reference images

PTD Variation

Probabilistic positioning models with enhanced uncertainty quantification and machine learning-driven pose estimation

Obviousness Reasoning

Predictable refinement of existing positioning techniques using advanced statistical modeling and machine learning approaches commonly employed in robotics navigation

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the technical variations disclosed herein would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, as they represent incremental and predictable extensions of the foundational teachings of US Patent 11858149, incorporating standard engineering design choices and known techniques in robotic localization and perception systems.

Original Patent Information

Patent Number	US 11,858,149
Title	Localization of robot
Assignee(s)	LG ELECTRONICS INC.