Enhanced Future Evolutions & Paradigm Shifts Technical Implementation

Publication ID: 24-11858143_0010_PTD

Published: October 29, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Enhanced Future Evolutions & Paradigm Shifts Technical Implementation,” Published Technical Disclosure No. 24-11858143_0010_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858143_0010_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 future evolutions & paradigm shifts that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but future evolutions & paradigm shifts presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements future evolutions & paradigm shifts 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 future evolutions & paradigm shifts 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 future evolutions & paradigm shifts enhancements.

CPC Classifications

Section	Class	Group
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

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Autonomous mobile robotics, computer vision, neural network-based identification systems, with expertise in machine learning, image processing, and robotic navigation technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in robotics, computer science, or electrical engineering, proficient in neural network architectures, image recognition algorithms, and autonomous system design

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's autonomous mobile device identification framework. The technical improvements are consistent with standard evolutionary approaches in machine learning and robotic systems. The proposed enhancements leverage known techniques for improving neural network performance and expanding identification capabilities.

Obvious Combinations & Variations

Source Patent Element

Neural network with convolution and attention modules for user identification

PTD Variation

Enhanced neural network architecture with additional attention mechanisms and expanded feature extraction techniques

Obviousness Reasoning

Iterative improvement of neural network design is a predictable progression for a PHOSITA, representing a standard approach to enhancing machine learning performance through known architectural modifications

Source Patent Element

Image acquisition and feature vector generation for user identification

PTD Variation

Extended image processing techniques with multi-modal feature extraction and orientation-independent recognition

Obviousness Reasoning

Expanding identification capabilities through additional feature extraction methods represents a logical and obvious technical evolution within the domain of computer vision and machine learning

Source Patent Element

Autonomous mobile device with camera-based identification system

PTD Variation

Implementation of advanced spatial and temporal analysis techniques for improved user recognition across multiple image acquisitions

Obviousness Reasoning

Integrating temporal and spatial analysis techniques is a standard approach for improving machine learning identification systems, representing a predictable technical solution

Source Patent Element

Gallery data management and similarity threshold determination

PTD Variation

Advanced algorithmic approaches for dynamic gallery data management and adaptive similarity threshold calculation

Obviousness Reasoning

Refining data management and similarity assessment techniques represents an obvious optimization strategy for machine learning identification systems

Source Patent Element

User orientation estimation using neural network processing

PTD Variation

Enhanced orientation detection with multi-dimensional feature analysis and probabilistic mapping techniques

Obviousness Reasoning

Expanding orientation detection capabilities through advanced feature analysis is a predictable technical progression for skilled practitioners in computer vision and machine learning

35 U.S.C. § 103 Summary: Based on a comprehensive analysis of US Patent 11858143 and the disclosed technical variations, a Person Having Ordinary Skill In The Art would find the presented innovations obvious and lacking inventive step. The proposed technical enhancements represent predictable evolutionary improvements to existing autonomous mobile device identification technologies, utilizing standard machine learning and computer vision techniques known in the art at the time of invention.

Original Patent Information

Patent Number	US 11,858,143
Title	System for identifying a user with an autonomous mobile device
Assignee(s)	Amazon Technologies, Inc.