Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858149_0008_PTD
Published: October 29, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858149_0008_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858149_0008_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 synergistic combinations that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but synergistic combinations presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements synergistic combinations 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 synergistic combinations 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 synergistic combinations enhancements.

CPC Classifications

SectionClassGroup
B B25 B25J9/1697
B B25 B25J9/1664

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, electrical 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 synergistic combination enhancements represent predictable variations of the source patent's robotic localization approach. The disclosed technical improvements leverage known machine learning and image processing techniques to extend the original patent's core methodology. These variations would be considered routine design optimizations within the established technological framework of robotic positioning systems.

Obvious Combinations & Variations

Source Patent Element
Image obtaining characteristic for robot rotation method
PTD Variation
Enhanced image acquisition strategies with multi-angle reference image collection
Obviousness Reasoning
Extending image collection techniques is a predictable optimization using known computer vision techniques, representing a standard design choice for improving spatial mapping accuracy
Source Patent Element
Trained model for position and pose determination
PTD Variation
Advanced machine learning models incorporating additional training data sources and feature extraction techniques
Obviousness Reasoning
Improving machine learning model architectures through expanded training datasets is a well-established approach in neural network development, representing an obvious technical progression
Source Patent Element
Reference image sets with specific angle coverage
PTD Variation
Dynamic reference image generation with adaptive angle selection and comprehensive spatial mapping
Obviousness Reasoning
Implementing more sophisticated image sampling strategies is a predictable evolution of existing spatial mapping technologies, utilizing known computer vision principles
Source Patent Element
Robot localization using image processing
PTD Variation
Enhanced synergistic combination techniques for improving robotic positioning accuracy
Obviousness Reasoning
Refining positioning algorithms through incremental technical improvements represents a standard approach in robotic navigation system development
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the technical variations disclosed herein would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, based on the teachings of US Patent 11858149. The proposed synergistic combination enhancements represent predictable extensions of existing robotic localization methodologies, employing standard design optimization techniques within the established technological framework of autonomous robotic systems.

Original Patent Information

Patent NumberUS 11,858,149
TitleLocalization of robot
Assignee(s)LG ELECTRONICS INC.