Published Technical Disclosure Archive

Enhanced Direct Improvements & Enhancements Technical Implementation

Publication ID: 24-11858118_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. 24-11858118_0006_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858118_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. 11,858,118.

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 B25J11/001
G G06 G06N20/00
G G06 G06V40/176
G G09 G09B5/065
G G10 G10L25/63

Field of Art

Artificial Intelligence, Robotics, Human-Machine Interaction, Educational Technology with focus on companion robots and interactive learning systems

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in AI, robotics, machine learning, and human-computer interaction, typically holding a graduate degree in computer science, robotics engineering, or related field with 3-5 years of industry experience in developing interactive AI systems

Obviousness Rationale

A person skilled in the art would recognize that the PTD's disclosed improvements represent predictable variations of the source patent's core technical approach. The enhancements build directly on the existing robot interaction methodology by introducing incremental technical modifications that would be apparent to a skilled practitioner familiar with companion robot technologies. These variations represent standard engineering design choices that extend the original patent's functionality through known techniques in AI and robotics interaction systems.

Obvious Combinations & Variations

Source Patent Element
Companion robot detecting and collecting sensing information and emotion information during human interaction
PTD Variation
Enhanced sensing mechanisms with more granular emotion detection and contextual analysis algorithms
Obviousness Reasoning
Refinement of emotion detection techniques represents a predictable improvement using known machine learning techniques, motivated by desire to increase interaction precision
Source Patent Element
Sending sensing information to a service server for processing
PTD Variation
Implementing distributed cloud-based processing with edge computing capabilities for real-time emotion analysis
Obviousness Reasoning
Extending server-based processing to include edge computing is a known technique for improving computational efficiency and reducing latency in AI systems
Source Patent Element
Generating simulated object data based on behavioral matching
PTD Variation
Advanced simulation techniques incorporating multi-modal data fusion and probabilistic modeling
Obviousness Reasoning
Expanding simulation methodologies using established machine learning approaches represents an obvious technical progression for improving interaction accuracy
Source Patent Element
Detecting environment information to determine interaction scenarios
PTD Variation
Implementing context-aware dynamic scenario generation with adaptive learning algorithms
Obviousness Reasoning
Enhancing scenario detection through machine learning represents a standard approach for improving robotic interaction systems' responsiveness
Source Patent Element
Robot learning about user characteristics through recognition technologies
PTD Variation
Integrating advanced personalization algorithms with privacy-preserving machine learning techniques
Obviousness Reasoning
Applying privacy-enhanced personalization represents a predictable evolution of existing user characterization methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858118 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed improvements obvious and anticipated, as the PTD demonstrates that the proposed enhancements represent straightforward extensions of existing companion robot interaction methodologies through standard engineering design choices and known technological techniques.

Original Patent Information

Patent NumberUS 11,858,118
TitleRobot, server, and human-machine interaction method
Assignee(s)HUAWEI TECHNOLOGIES CO., LTD.