Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858148_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. 24-11858148_0002_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858148_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. 11,858,148.

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 B25J9/1697
B B25 B25J5/007
B B25 B25J13/08

Field of Art

Robotics and Automated Systems, specifically robotic manipulation and navigation with computer vision and motor control systems. Skill level requires advanced engineering degree, expertise in robotic control algorithms, computer vision, and mechanical system integration

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with graduate-level training, capable of understanding complex sensor-based navigation, machine learning image processing, and adaptive robotic control systems

Obviousness Rationale

A skilled practitioner would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core robotic navigation and object interaction methodology. The technical improvements leverage known computer vision and robotic control techniques to expand the original patent's fundamental approach. These variations demonstrate standard engineering problem-solving within the robotics domain, applying established methodological approaches to enhance functionality.

Obvious Combinations & Variations

Source Patent Element
Camera-based feature point extraction for door interaction
PTD Variation
Enhanced multi-sensor fusion for improved spatial recognition and interaction strategies
Obviousness Reasoning
Integrating additional sensor types is a known technique for improving robotic perception, representing a predictable optimization within computer vision and robotics domains
Source Patent Element
Motor control for robotic positioning and object manipulation
PTD Variation
Advanced trajectory planning and dynamic adjustment algorithms
Obviousness Reasoning
Refining motor control algorithms using machine learning and adaptive techniques represents a standard engineering approach for improving robotic precision and flexibility
Source Patent Element
Image-based feature extraction for spatial understanding
PTD Variation
Expanded computational methods for contextual scene analysis and object relationship mapping
Obviousness Reasoning
Developing more sophisticated image processing techniques is an expected progression in computer vision, utilizing known machine learning and pattern recognition approaches
Source Patent Element
Robotic interaction with environmental objects like doors
PTD Variation
Extended interaction protocols for complex multi-object environments
Obviousness Reasoning
Generalizing robotic interaction strategies across diverse scenarios represents a natural engineering evolution, applying established control system principles
Source Patent Element
Target position determination based on visual features
PTD Variation
Probabilistic and machine learning-enhanced positioning algorithms
Obviousness Reasoning
Implementing statistical and adaptive positioning techniques is a predictable enhancement within robotic navigation research, utilizing known computational approaches
35 U.S.C. § 103 Summary: Based on US Patent 11858148's foundational robotic interaction methodology, the presented technical disclosure demonstrates that the claimed variations would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed improvements represent standard engineering problem-solving techniques within robotics and computer vision domains, utilizing predictable combinations of known technological approaches to extend the original patent's fundamental concepts.

Original Patent Information

Patent NumberUS 11,858,148
TitleRobot and method for controlling the same
Assignee(s)LG ELECTRONICS INC.