Published Technical Disclosure Archive

Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858118_0003_PTD
Published: October 29, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858118_0003_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858118_0003_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 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 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, holding advanced degrees in computer science, robotics engineering, or related fields, with practical experience in developing interactive intelligent systems

Obviousness Rationale

A person skilled in the art would recognize that the PTD's synergistic combinations represent predictable technical extensions of the source patent's foundational approach to companion robot interactions. The disclosed variations leverage known techniques in AI and robotics to enhance interaction capabilities through incremental technical improvements. These modifications would be considered routine design choices within the established technological framework of intelligent interactive 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 for more granular emotion and environmental data collection with expanded contextual interpretation algorithms
Obviousness Reasoning
Improving sensor resolution and data processing is a predictable optimization in AI systems, representing a known technique for enhancing interaction quality
Source Patent Element
Sending interaction data to a service server for processing
PTD Variation
Implementing distributed machine learning techniques to dynamically update interaction models across multiple robot instances
Obviousness Reasoning
Extending cloud-based learning mechanisms is an obvious progression in AI system design, utilizing well-established distributed computing principles
Source Patent Element
Behavioral data screening and simulation generation
PTD Variation
Advanced simulation techniques incorporating multi-modal interaction data and probabilistic modeling for more nuanced scenario generation
Obviousness Reasoning
Refining simulation approaches using expanded data sources represents a logical and predictable technical evolution in robotic interaction systems
Source Patent Element
Interaction scenario detection and object database selection
PTD Variation
Dynamic context-aware database selection with machine learning-driven adaptive interaction strategies
Obviousness Reasoning
Implementing adaptive selection mechanisms is a standard optimization technique in intelligent systems, representing a straightforward technical improvement
Source Patent Element
Emotion information collection and processing
PTD Variation
Integrating advanced affective computing techniques to provide more sophisticated emotional recognition and response generation
Obviousness Reasoning
Enhancing emotional intelligence capabilities through refined computational techniques is a predictable and incremental advancement in companion robot technology
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 synergistic combination techniques obvious and anticipated, rendering subsequent patent claims covering similar technological implementations unpatentable under 35 U.S.C. Section 103 as obvious variations of the established prior art.

Original Patent Information

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