Adaptive Path Optimization: Multi-Industry Navigation Tech

Publication ID: 24-11856890_0007_PTD
Published: October 26, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptive Path Optimization: Multi-Industry Navigation Tech,” Published Technical Disclosure No. 24-11856890_0007_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856890_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. 11,856,890.

Background and Problem Solved

The original patent focused on agricultural harvesters, but its core technology has broader implications. This invention addresses the limitations of the original patent by applying its principles to diverse industries, solving problems of inefficient navigation, reduced productivity, and increased safety risks.

Novelty and Inventive Step

The new invention's novelty lies in its application of automated turn patterns to diverse industries, combining the original patent's principles with industry-specific requirements and constraints. The inventive step is the recognition of the broader applicability of the core technology and its adaptation to address specific problems in various fields.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the navigation module with existing infrastructure, such as warehouse management systems or traffic monitoring networks. Variations may involve using different types of sensors or data sources to detect turn patterns, or incorporating machine learning algorithms to improve the optimization process.

Potential Commercial Applications and Market

This invention has significant commercial potential in industries such as logistics, search and rescue, transportation, and manufacturing. The market for adaptive path optimization is vast, with potential applications in industries that rely on efficient navigation and route optimization.

CPC Classifications

SectionClassGroup
A A01 A01D41/1278
G G05 G05D1/0212
G G05 G05D2201/0201

Field of Art

Autonomous navigation systems, robotics, and control systems for mobile platforms across multiple industries, with expertise in path planning, sensor integration, and automated guidance technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in robotics, control systems, or computer engineering, experienced in developing autonomous navigation algorithms, familiar with sensor-based path detection, and capable of adapting control systems across different technological domains

Obviousness Rationale

The PTD demonstrates that the core navigation principles from the agricultural harvester patent can be readily translated to other mobile platforms by applying the fundamental turn pattern detection and automated path generation methodology. A PHOSITA would recognize that the source patent's core technical contribution of detecting turn patterns and automatically generating navigation paths is a generalizable approach applicable to diverse mobile systems. The technical framework of sensor-based pattern recognition and autonomous path generation represents a transferable technological concept that can be adapted across multiple domains with predictable results.

Obvious Combinations & Variations

Source Patent Element
Detecting a turn pattern of an agricultural harvester using sensor inputs and operator-defined parameters
PTD Variation
Applying turn pattern detection to warehouse vehicle navigation using similar sensor-based input mechanisms
Obviousness Reasoning
Known technique of translating path detection algorithms across mobile platforms, with predictable results in autonomous navigation
Source Patent Element
Automatically identifying next path based on previously harvested land
PTD Variation
Extending path identification logic to drone search and rescue operations using predefined search patterns
Obviousness Reasoning
Finite set of known path optimization strategies that can be applied across different mobile platforms with minimal modification
Source Patent Element
Generating control signals to automatically guide an agricultural machine
PTD Variation
Creating control modules for robotic navigation in manufacturing environments using similar signal generation techniques
Obviousness Reasoning
Predictable engineering adaptation of control system principles across different technological domains
Source Patent Element
Computer executable instructions for detecting and managing turn patterns
PTD Variation
Implementing traffic routing algorithms that detect and optimize vehicle turn patterns
Obviousness Reasoning
Design choice in applying pattern recognition algorithms to solve navigation optimization problems
Source Patent Element
Operator input for defining initial turn patterns
PTD Variation
Incorporating machine learning algorithms to dynamically improve path detection and optimization
Obviousness Reasoning
Known technique of enhancing rule-based systems with adaptive learning approaches
35 U.S.C. § 103 Summary: Based on US Patent 11856890's disclosure of automated turn pattern detection and path generation, the present publication demonstrates that a Person Having Ordinary Skill In The Art would find the disclosed variations obvious through straightforward technological translation. The core navigation methodology represents a generalizable approach to autonomous path planning that can be readily adapted across multiple technological domains with predictable engineering results.

Original Patent Information

Patent NumberUS 11,856,890
TitleAutomated turn patterns in an agricultural harvester
Assignee(s)Deer & Company