Enhanced Specialized Variations & Niche Solutions Technical Implementation

Publication ID: 24-11858149_0009_PTD

Published: October 29, 2025

Category:Specialized Variations & Niche Solutions

Legal Citation

pr1or.art Inc., “Enhanced Specialized Variations & Niche Solutions Technical Implementation,” Published Technical Disclosure No. 24-11858149_0009_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858149_0009_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 specialized variations & niche solutions that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but specialized variations & niche solutions presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements specialized variations & niche solutions 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 specialized variations & niche solutions 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 specialized variations & niche solutions 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 robotic 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 at least a master's degree in robotics, computer engineering, or related field with 3-5 years of practical experience in autonomous system design

Obviousness Rationale

The published technical disclosure represents predictable variations and extensions of the source patent's robotic localization approach by introducing specialized implementation techniques that would be readily apparent to a skilled practitioner. These variations leverage known machine learning and image processing methodologies to enhance the original patent's core localization framework. A person skilled in the art would recognize these modifications as straightforward adaptations of existing robotic navigation principles.

Obvious Combinations & Variations

Source Patent Element

Image-based robot localization using trained machine learning models

PTD Variation

Enhanced training data collection and processing techniques for improved spatial positioning accuracy

Obviousness Reasoning

Expanding training dataset collection methods is a known technique for improving machine learning model performance, representing a predictable optimization approach

Source Patent Element

Reference image sets for robot positioning

PTD Variation

Alternative image sequence generation and processing algorithms to capture environmental context

Obviousness Reasoning

Modifying image capture strategies represents a standard design choice within computer vision and robotic navigation domains

Source Patent Element

Rotation-based image obtaining characteristics

PTD Variation

Advanced rotation sampling techniques to improve spatial mapping resolution

Obviousness Reasoning

Refining sensor data collection methods through incremental algorithmic improvements is a routine engineering task with expected outcomes

Source Patent Element

Global positioning determination using machine learning

PTD Variation

Specialized niche solution implementations targeting specific environmental constraints

Obviousness Reasoning

Adapting machine learning models to unique contextual requirements represents a standard approach in autonomous systems engineering

Source Patent Element

Robot localization using image processing

PTD Variation

Enhanced computational approaches for reducing processing overhead and improving real-time performance

Obviousness Reasoning

Optimizing computational efficiency through algorithmic refinement is a predictable evolution in robotic navigation technologies

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 straightforward extensions of the foundational teachings in US Patent 11858149, involving predictable combinations of known robotic localization techniques that would yield expected results without requiring undue experimentation.

Original Patent Information

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