Published Technical Disclosure Archive

Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858143_0008_PTD
Published: October 29, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858143_0008_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858143_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. 11,858,143.

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 B25J9/1664
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 identification systems with a focus on mobile device technologies involving spatial recognition and user tracking

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in machine learning, computer vision, robotics, and neural network design, holding at least a master's degree in computer science, electrical engineering, or related field, with 3-5 years of practical experience in developing autonomous systems and neural network architectures

Obviousness Rationale

A person skilled in the art would recognize that the PTD's synergistic combinations represent predictable variations of the source patent's core technical approach. The disclosed enhancements leverage known machine learning techniques and neural network architectures to extend the original patent's user identification methodology. These variations represent standard design choices and incremental improvements that would be apparent to a skilled practitioner working in autonomous mobile device technologies.

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 by adding or refining attention modules is a known technique in machine learning, representing a predictable optimization approach
Source Patent Element
Image acquisition and feature vector generation for user tracking
PTD Variation
Extended image processing techniques with improved spatial orientation estimation and multi-modal feature extraction
Obviousness Reasoning
Expanding feature extraction methods is a standard design choice in computer vision, with finite and predictable implementation strategies
Source Patent Element
Autonomous mobile device with camera-based identification system
PTD Variation
Synergistic combination of identification components with enhanced contextual awareness and multi-temporal image analysis
Obviousness Reasoning
Integrating contextual awareness into existing identification systems represents an obvious technological progression using known machine learning techniques
Source Patent Element
User identification through neural network feature comparison
PTD Variation
Advanced similarity threshold mechanisms with dynamic weighting and probabilistic matching algorithms
Obviousness Reasoning
Refining similarity comparison techniques is a standard optimization approach in pattern recognition and machine learning domains
Source Patent Element
Camera-based orientation and user tracking
PTD Variation
Improved spatial orientation estimation with enhanced multi-dimensional tracking capabilities
Obviousness Reasoning
Extending spatial tracking methodologies represents a predictable evolution of existing computer vision technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858143, a person having ordinary skill in the art would find the technical variations disclosed herein to be obvious extensions of the prior art. The synergistic combinations represent predictable refinements to existing autonomous mobile device identification technologies, utilizing standard machine learning and neural network design principles that would be apparent to a skilled practitioner in the field.

Original Patent Information

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