Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858149_0002_PTD

Published: October 29, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Enhanced New Applications & Use Cases Technical Implementation,” Published Technical Disclosure No. 24-11858149_0002_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858149_0002_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 new applications & use cases that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but new applications & use cases presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements new applications & use cases 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 new applications & use cases 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 new applications & use cases 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 developing autonomous robotic systems

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core localization methodology by introducing incremental technical improvements that leverage known machine learning and image processing techniques. The variations maintain the fundamental architectural approach of the original patent while expanding potential application scenarios through systematic technical modifications. These extensions would be considered routine design optimizations within the standard problem-solving framework of robotic localization technologies.

Obvious Combinations & Variations

Source Patent Element

Image obtaining characteristic determination during robot rotation

PTD Variation

Enhanced multi-modal image acquisition strategies incorporating additional sensor fusion techniques

Obviousness Reasoning

Expanding image acquisition methods represents a predictable variation using known sensor integration techniques that a PHOSITA would find obvious for improving localization accuracy

Source Patent Element

Trained model for position and pose estimation

PTD Variation

Advanced machine learning architectures with expanded training data sets and dynamic adaptation mechanisms

Obviousness Reasoning

Implementing more sophisticated neural network architectures is a standard evolutionary approach in machine learning that would be considered an obvious optimization by a skilled practitioner

Source Patent Element

Reference image sets with specific field of view characteristics

PTD Variation

Dynamic reference image generation techniques with adaptive sampling and perspective transformation algorithms

Obviousness Reasoning

Introducing computational methods for generating more comprehensive reference image collections represents a logical technical progression using known computer vision techniques

Source Patent Element

Global position and pose estimation using training data

PTD Variation

Probabilistic localization frameworks with enhanced uncertainty modeling and contextual inference capabilities

Obviousness Reasoning

Extending probabilistic modeling techniques for improved spatial estimation is a standard approach in robotics that would be considered an obvious technical improvement

Source Patent Element

Robot rotation-based image acquisition method

PTD Variation

Multi-axis rotation strategies with integrated error correction and calibration mechanisms

Obviousness Reasoning

Implementing more sophisticated rotation and calibration techniques represents a predictable engineering optimization within robotic navigation systems

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 predictable extensions of the foundational teachings in US Patent 11858149, involving routine engineering modifications that would be apparent to a skilled practitioner without requiring inventive insight beyond the existing technological framework.

Original Patent Information

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