Published Technical Disclosure Archive

Enhanced Future Evolutions & Paradigm Shifts Technical Implementation

Publication ID: 24-11858143_0005_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_0005_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858143_0005_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

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 robotics, computer vision, machine learning, and neural network-based user identification systems with a focus on mobile device interactions and spatial recognition technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in machine learning, computer vision, neural network design, and autonomous mobile device systems, holding advanced degrees in computer science, electrical engineering, or related fields 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 builds upon existing neural network architectures and spatial recognition techniques by introducing incremental improvements that would be apparent to a skilled practitioner. These variations represent standard evolutionary design choices within the field of autonomous mobile device systems and machine learning implementations.

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 spatial recognition techniques
Obviousness Reasoning
Modifying neural network architectures through additional attention modules is a known technique in machine learning, representing a predictable optimization approach for improving feature extraction and recognition capabilities
Source Patent Element
Image acquisition and feature vector generation for user identification
PTD Variation
Extended image processing techniques with multiple temporal image capture and advanced feature vector analysis
Obviousness Reasoning
Expanding temporal image capture and feature vector generation represents a standard design evolution that would be obvious to a skilled practitioner seeking improved identification accuracy
Source Patent Element
Autonomous mobile device with camera-based user recognition system
PTD Variation
Implementation of future paradigm shifts focusing on enhanced spatial orientation and contextual understanding
Obviousness Reasoning
Introducing contextual and spatial orientation improvements is a predictable technological progression within autonomous mobile device systems, representing finite identified solution approaches
Source Patent Element
First neural network for user identification and feature extraction
PTD Variation
Multi-stage neural network architectures with cascading feature recognition and enhanced attention mechanisms
Obviousness Reasoning
Developing more sophisticated neural network designs through cascading and enhanced attention modules represents a standard evolutionary approach in machine learning system design
Source Patent Element
Image-based user identification using spatial recognition techniques
PTD Variation
Advanced spatial recognition methods incorporating multi-modal input and contextual understanding
Obviousness Reasoning
Expanding spatial recognition techniques through multi-modal inputs represents a predictable technological improvement within computer vision and machine learning domains
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the published technical disclosure derived from US Patent 11858143 demonstrates that the claimed variations represent obvious extensions of the source patent's technological framework. A person having ordinary skill in the art would recognize these technical implementations as predictable design choices within autonomous mobile device and neural network identification systems, thereby rendering potential patent claims obvious and unpatentable.

Original Patent Information

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