Published Technical Disclosure Archive

Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858118_0002_PTD
Published: October 29, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Enhanced New Applications & Use Cases Technical Implementation,” Published Technical Disclosure No. 24-11858118_0002_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858118_0002_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 new applications & use cases that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but new applications & use cases presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements new applications & use cases 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 new applications & use cases 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 new applications & use cases 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

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

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in robotics engineering, machine learning, human-computer interaction, and educational technology, possessing advanced degrees or equivalent professional experience in developing interactive AI systems

Obviousness Rationale

A person skilled in the art would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core technical framework for companion robot interactions. The proposed enhancements leverage existing technological capabilities in sensing, data collection, and scenario-based interaction that are inherently suggested by the original patent's teaching. These variations demonstrate incremental improvements that would be obvious to a skilled practitioner seeking to expand the functional range of companion robot systems.

Obvious Combinations & Variations

Source Patent Element
Companion robot detecting and collecting sensing information and emotion information during human interactions
PTD Variation
Expanding sensing capabilities to include additional contextual data and environmental parameters for more nuanced interaction scenarios
Obviousness Reasoning
Known technique of enhancing sensor fusion and data collection methods to improve AI system responsiveness, representing a predictable technological progression
Source Patent Element
Simulated object data generation based on behavioral matching
PTD Variation
Implementing machine learning algorithms to dynamically generate more sophisticated interaction scenarios and personalized response models
Obviousness Reasoning
Applying standard machine learning techniques to extend existing simulation constraints, representing an obvious design choice for improving robotic interaction capabilities
Source Patent Element
Service server processing emotion and sensing information
PTD Variation
Integrating cloud-based machine learning models to enhance real-time emotion recognition and interaction adaptation
Obviousness Reasoning
Utilizing well-established cloud computing and AI techniques to improve computational processing, representing a predictable technological evolution
Source Patent Element
Companion robot collecting environment and emotion information
PTD Variation
Implementing multi-modal sensing techniques to capture more comprehensive interaction context across different learning environments
Obviousness Reasoning
Extending sensor integration methods using known technological approaches, representing an obvious optimization of existing interaction detection capabilities
Source Patent Element
Human-machine interaction method for educational companion robots
PTD Variation
Developing specialized interaction protocols for diverse educational scenarios and learner demographics
Obviousness Reasoning
Applying domain-specific customization techniques that would be obvious to a skilled practitioner seeking to expand robotic educational applications
35 U.S.C. § 103 Summary: Based on a comprehensive analysis of US Patent 11858118 and the disclosed technical variations, a person having ordinary skill in the art would find the presented innovations obvious and lacking non-obvious inventive merit. The proposed technical extensions represent predictable technological progressions that would be readily conceived by a skilled practitioner seeking to enhance companion robot interaction capabilities through standard engineering methodologies and known computational techniques.

Original Patent Information

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