Enhanced Direct Improvements & Enhancements Technical Implementation

Publication ID: 24-11858149_0001_PTD

Published: October 29, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Direct Improvements & Enhancements Technical Implementation,” Published Technical Disclosure No. 24-11858149_0001_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858149_0001_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 direct improvements & enhancements that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but direct improvements & enhancements presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements direct improvements & enhancements 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 direct improvements & enhancements 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 direct improvements & enhancements 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 and machine learning techniques for spatial positioning

Person of Ordinary Skill (PHOSITA) Profile

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

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed improvements represent predictable variations of the source patent's core robotic localization approach. The technical extensions leverage known machine learning and image processing techniques to enhance spatial positioning capabilities. The variations demonstrate incremental improvements that would be obvious to a skilled practitioner familiar with robotic navigation technologies.

Obvious Combinations & Variations

Source Patent Element

Image-based robot localization using trained machine learning models

PTD Variation

Enhanced image obtaining characteristics and expanded reference image collection strategies

Obviousness Reasoning

Modifying image collection parameters represents a routine design optimization that would be obvious to improve localization accuracy using known machine learning training techniques

Source Patent Element

Reference images obtained at predetermined angles during robot rotation

PTD Variation

Extended image capture sequences with multiple order and direction combinations

Obviousness Reasoning

Exploring alternative image capture configurations is a predictable variation that a PHOSITA would recognize as a standard approach to improving spatial mapping precision

Source Patent Element

Training data generation using mapping robot or server

PTD Variation

Expanded training data collection methodologies with more diverse image sets

Obviousness Reasoning

Increasing training data diversity and collection methods represents a known technique for improving machine learning model performance in robotic localization systems

Source Patent Element

Global position and pose determination using trained models

PTD Variation

Advanced pose estimation techniques with enhanced computational approaches

Obviousness Reasoning

Refining pose estimation algorithms using known machine learning techniques constitutes an obvious extension of existing robotic positioning technologies

Source Patent Element

Robot environment image processing

PTD Variation

Improved image processing algorithms with enhanced feature extraction and matching

Obviousness Reasoning

Implementing more sophisticated image processing techniques represents a standard engineering approach to incrementally improving robotic perception capabilities

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858149 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed improvements to robotic localization technologies to be obvious and lacking inventive merit. The presented variations represent predictable extensions of existing robotic navigation and machine learning techniques, thereby rendering potential patent claims obvious under 35 U.S.C. Section 103.

Original Patent Information

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