Published Technical Disclosure Archive

Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858118_0007_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_0007_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858118_0007_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, with specific focus on educational companion robots and interactive learning systems

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in robotics, machine learning, human-computer interaction, with knowledge of sensor integration, emotion recognition, and adaptive learning technologies

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 known techniques in adaptive learning and interaction design that would be readily apparent to a skilled practitioner. The technical solutions represent logical combinations of existing robotic interaction methodologies with incremental improvements in application scope and functionality.

Obvious Combinations & Variations

Source Patent Element
Companion robot detecting and collecting sensing information and emotion information during human interactions
PTD Variation
Expanding sensing modalities and emotion recognition to include additional contextual data collection and multi-modal interaction scenarios
Obviousness Reasoning
Known technique of expanding sensor integration and data collection methods, representing a predictable variation that enhances existing interaction capabilities
Source Patent Element
Robot learning about user characteristics through cloud computing and voice/facial recognition
PTD Variation
Implementing advanced machine learning algorithms for more nuanced user profile generation and personalized interaction strategies
Obviousness Reasoning
Applying known machine learning techniques to improve user modeling represents an obvious design choice within the field of adaptive robotic systems
Source Patent Element
Sending sensing and emotion information to a service server for processing
PTD Variation
Implementing distributed computing architectures with edge processing and enhanced data privacy mechanisms
Obviousness Reasoning
Utilizing distributed computing paradigms is a standard engineering approach for improving computational efficiency and data management
Source Patent Element
Generating simulated object data based on behavioral matching
PTD Variation
Extending simulation capabilities to include more complex scenario generation and predictive interaction modeling
Obviousness Reasoning
Expanding simulation techniques represents a predictable evolution of existing robotic interaction technologies
Source Patent Element
Detecting environment information to determine interaction scenarios
PTD Variation
Implementing advanced contextual awareness algorithms that dynamically adapt interaction protocols based on multi-dimensional environmental inputs
Obviousness Reasoning
Enhancing contextual recognition through more sophisticated algorithmic approaches is an obvious technological progression
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 innovations obvious and lacking inventive step. The proposed technical solutions represent predictable combinations and extensions of existing robotic interaction methodologies, which would be readily conceived by a skilled practitioner without requiring undue experimentation or non-obvious technical achievements.

Original Patent Information

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