Published Technical Disclosure Archive

Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858145_0003_PTD
Published: October 29, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858145_0003_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858145_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. 11,858,145.

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 B25J9/1664
B B25 B25J9/161
B B25 B25J13/006
B B25 B25J13/087
B B65 B65D88/08
B B65 B65D88/66

Field of Art

Robotic systems for material handling, specifically grain pile management and automated robotic traversal with sensing capabilities, involving mechanical engineering, robotics, and agricultural automation technologies

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with expertise in automated material handling systems, mechanical design, sensor integration, and control systems, possessing knowledge of robotic locomotion, agricultural automation, and granular material interaction techniques

Obviousness Rationale

A PHOSITA would recognize that the PTD's synergistic combinations represent predictable technical extensions of the source patent's robotic grain pile management system, utilizing standard engineering design approaches to enhance functionality through known sensor and locomotion integration techniques. The disclosed variations represent incremental improvements that would be apparent to a skilled practitioner familiar with robotic system design and material handling challenges. The technical solutions proposed are logical progressions of the original patent's core technological framework.

Obvious Combinations & Variations

Source Patent Element
Bilateral auger-based drive system for robot locomotion
PTD Variation
Enhanced auger configuration with additional sensor integration points and adaptive locomotion algorithms
Obviousness Reasoning
Modifying locomotion systems with integrated sensing is a predictable design variation for improving robotic navigation and performance in complex material environments
Source Patent Element
Temperature measurement sensor for piled grain
PTD Variation
Multi-parameter sensing system capturing temperature, moisture, density, and material composition simultaneously
Obviousness Reasoning
Expanding sensor capabilities using known sensing technologies represents an obvious technical improvement with foreseeable benefits in material monitoring
Source Patent Element
Processor controlling robot traversal and material interaction
PTD Variation
Advanced machine learning-enabled processor with adaptive traversal and predictive material flow modeling
Obviousness Reasoning
Implementing machine learning techniques in robotic control systems is a standard engineering approach for enhancing autonomous navigation and interaction capabilities
Source Patent Element
Robotic probe delivery mechanism for material surface interaction
PTD Variation
Modular probe system with interchangeable sensing and sampling attachments
Obviousness Reasoning
Creating adaptable probe configurations using standard mechanical coupling techniques represents a predictable design evolution for increased system flexibility
Source Patent Element
Granular material surface management techniques
PTD Variation
Extended surface management strategies incorporating dynamic sediment flow prediction and intervention algorithms
Obviousness Reasoning
Developing advanced algorithmic approaches for material flow management is an obvious technical progression using known computational and mechanical engineering principles
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858145 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed synergistic combinations obvious and predictable extensions of existing robotic material handling technologies. The incremental improvements represent standard engineering design choices that would be apparent to a skilled practitioner without requiring inventive insight beyond the existing technological state of the art.

Original Patent Information

Patent NumberUS 11,858,145
TitleSurface management of piled grain
Assignee(s)Grain Weevil Corporation