Published Technical Disclosure Archive

Enhanced Direct Improvements & Enhancements Technical Implementation

Publication ID: 24-11858143_0006_PTD
Published: October 29, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Direct Improvements & Enhancements Technical Implementation,” Published Technical Disclosure No. 24-11858143_0006_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858143_0006_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 direct improvements & enhancements that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but direct improvements & enhancements presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements direct improvements & enhancements 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 direct improvements & enhancements 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 direct improvements & enhancements 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, neural network-based object recognition and tracking systems, with expertise in machine learning, image processing, and intelligent device interaction

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in robotics, computer science, or electrical engineering, possessing deep knowledge of neural network architectures, image recognition techniques, and autonomous system design

Obviousness Rationale

A person skilled in the art would recognize that the published technical disclosure represents predictable variations and extensions of the source patent's core autonomous mobile device recognition system. The PTD introduces incremental improvements that leverage known machine learning and computer vision techniques to enhance the original patent's functionality. These variations would be considered obvious modifications that a skilled practitioner could readily implement using standard design approaches in the field of autonomous mobile robotics.

Obvious Combinations & Variations

Source Patent Element
Neural network with convolution and attention modules for image recognition
PTD Variation
Enhanced neural network architecture with additional attention mechanisms and feature extraction layers
Obviousness Reasoning
Modifying neural network architectures by adding attention modules or convolution layers is a known technique for improving image recognition performance, representing a predictable optimization approach
Source Patent Element
Autonomous mobile device with camera-based user identification
PTD Variation
Extended identification system with multi-modal recognition incorporating additional sensor inputs
Obviousness Reasoning
Integrating multiple sensor types for improved identification is a standard design choice in autonomous systems, representing an obvious enhancement to existing recognition techniques
Source Patent Element
Image-based feature vector generation for user tracking
PTD Variation
Advanced feature vector computation using expanded machine learning models and contextual analysis
Obviousness Reasoning
Refining feature vector generation through more sophisticated machine learning approaches is a predictable evolution in computer vision and pattern recognition technologies
Source Patent Element
Orientation estimation for user identification
PTD Variation
Enhanced spatial orientation detection with improved geometric modeling and probabilistic inference
Obviousness Reasoning
Implementing more precise orientation estimation techniques represents an obvious improvement using standard computer vision and geometric modeling approaches
Source Patent Element
Autonomous mobile device user recognition system
PTD Variation
Expanded recognition framework with dynamic adaptation and contextual learning capabilities
Obviousness Reasoning
Introducing adaptive learning mechanisms is a known technique for improving machine learning systems, representing a predictable technological progression
35 U.S.C. § 103 Summary: Based on a comprehensive analysis 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 by the existing prior art. The disclosed technical improvements represent straightforward extensions of known autonomous mobile device recognition techniques, employing standard design approaches and predictable combinations of existing technological elements.

Original Patent Information

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