Published Technical Disclosure Archive

Enhanced Specialized Variations & Niche Solutions Technical Implementation

Publication ID: 24-11858143_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. 24-11858143_0009_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858143_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. 11,858,143.

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

SectionClassGroup
B B25 B25J9/1664
B B25 B25J9/1697
G G05 G05D1/0088
G G06 G06F18/2113
G G06 G06F18/22
G G06 G06N3/04
G G06 G06V20/10

Field of Art

Autonomous mobile robotics, computer vision, and neural network-based identification systems with a focus on machine learning, image processing, and intelligent device interaction

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in machine learning, computer vision, neural network architectures, and autonomous mobile device design, typically holding a graduate degree in computer science, robotics, or electrical engineering with 3-5 years of industry experience in AI and robotics

Obviousness Rationale

A person having ordinary skill in the art would recognize that the published technical disclosure represents predictable variations and extensions of the source patent's core autonomous mobile device identification technology. The PTD's proposed enhancements leverage known machine learning and computer vision techniques that would be readily apparent to a skilled practitioner seeking to optimize or specialize the original patent's approach. The disclosed variations represent incremental improvements using standard design methodologies within the field of autonomous mobile device systems.

Obvious Combinations & Variations

Source Patent Element
Neural network with convolution and attention modules for user identification
PTD Variation
Enhanced neural network architecture with specialized attention mechanisms for niche identification scenarios
Obviousness Reasoning
Modifying neural network architectures through additional attention modules or specialized convolution layers is a predictable design choice for improving feature extraction and recognition accuracy
Source Patent Element
Image acquisition and feature vector generation for user identification
PTD Variation
Extended image processing techniques with context-aware feature extraction for specialized use cases
Obviousness Reasoning
Adapting feature extraction techniques to specific domain requirements represents a known approach for improving machine learning model performance
Source Patent Element
Autonomous mobile device with camera-based identification system
PTD Variation
Implementing domain-specific identification protocols and enhanced orientation estimation techniques
Obviousness Reasoning
Tailoring identification algorithms to specific application domains is a standard engineering practice that would be obvious to a skilled practitioner
Source Patent Element
Multi-image processing and gallery data management
PTD Variation
Advanced gallery data handling with improved similarity threshold mechanisms
Obviousness Reasoning
Refining data management and similarity comparison techniques represents a predictable optimization approach within machine learning identification systems
Source Patent Element
Neural network-based user orientation and positioning estimation
PTD Variation
Enhanced spatial awareness and contextual understanding through advanced neural network architectures
Obviousness Reasoning
Improving spatial estimation techniques through neural network modifications is a standard approach for increasing autonomous device perception capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858143 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious and anticipated, as the proposed technical solutions represent predictable extensions of existing autonomous mobile device identification technologies through standard engineering design choices and known machine learning optimization techniques.

Original Patent Information

Patent NumberUS 11,858,143
TitleSystem for identifying a user with an autonomous mobile device
Assignee(s)Amazon Technologies, Inc.