Autonomous Robots for High-Security Farming Operations

Publication ID: 24-11856882_0004_PTD
Published: October 26, 2025
Category:Specialized Variations & Niche Solutions

Legal Citation

pr1or.art Inc., “Autonomous Robots for High-Security Farming Operations,” Published Technical Disclosure No. 24-11856882_0004_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856882_0004_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. 11,856,882.

Background and Problem Solved

The original patent disclosed an autonomous robot system for steep terrain farming operations. However, it did not address the specific challenges of farming in high-security areas, extreme weather conditions, disaster relief, and areas with limited accessibility or high winds. The new invention addresses these limitations by introducing specialized variations and niche solutions.

Novelty and Inventive Step

The new claims introduce novel and non-obvious features, including encryption technology for secure data transmission, real-time weather data integration, aerial surveillance for disaster relief, winch systems for navigating steep slopes, and wind-resistant designs for high-wind conditions. These features enable the autonomous robot system to operate effectively in specialized environments, distinguishing it from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of satellite imaging for crop monitoring, autonomous irrigation systems, or integration with other farm management tools. Variations of the invention could be designed for specific crops, such as vineyards or orchards, or for use in areas with unique soil or climate conditions.

Potential Commercial Applications and Market

The autonomous robot system for specialized farming operations has significant commercial potential in the agriculture industry, particularly in areas with high-security needs, extreme weather conditions, or limited accessibility. The system could be marketed to farmers, agricultural cooperatives, or government agencies involved in disaster relief and food security.

CPC Classifications

SectionClassGroup
A A01 A01B69/008
B B64 B64C39/02
G G01 G01C21/3461
G G01 G01C21/3469
G G05 G05D1/101
G G05 G05D2201/0201

Field of Art

Agricultural robotics and autonomous systems for terrain-based agricultural operations, with expertise in drone technologies, terrain navigation, and precision farming techniques

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer or agricultural systems specialist with advanced degrees in robotics, mechanical engineering, or agricultural science, experienced in autonomous vehicle design, sensor integration, and terrain-adaptive robotic systems

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's variations represent predictable extensions of the source patent's core autonomous robotic farming system, utilizing standard engineering techniques to address known challenges in steep terrain and specialized agricultural environments. The proposed modifications leverage existing technological capabilities in drone design, data transmission, and environmental adaptation that would be readily apparent to a skilled practitioner. These variations represent logical problem-solving approaches to expanding the original patent's core technological framework.

Obvious Combinations & Variations

Source Patent Element
Ground-based and aerial drones for farming operations on steep terrain
PTD Variation
Adding encryption technology for secure data transmission between ground and aerial robots
Obviousness Reasoning
Implementing cybersecurity protocols is a standard engineering practice for networked robotic systems, representing a predictable solution to potential communication vulnerabilities
Source Patent Element
Autonomous farming robots capable of performing operations on steep terrain
PTD Variation
Incorporating winch systems for enhanced slope navigation
Obviousness Reasoning
Mechanical stabilization techniques for steep terrain represent a known and obvious solution to mobility challenges, using standard mechanical engineering principles
Source Patent Element
Unmanned aerial vehicles servicing ground-based agricultural robots
PTD Variation
Integrating real-time weather data collection and operational adjustment capabilities
Obviousness Reasoning
Sensor integration and adaptive operational protocols are standard design considerations in autonomous robotic systems, representing a predictable technological enhancement
Source Patent Element
Autonomous robots for agricultural operations
PTD Variation
Implementing wind-resistant design for aerial vehicles in high-wind environments
Obviousness Reasoning
Aerodynamic optimization is a standard engineering approach for maintaining vehicle stability, representing a finite and predictable solution to environmental challenges
Source Patent Element
Ground mobile robots performing farming operations
PTD Variation
Disaster relief farming operations with aerial surveillance capabilities
Obviousness Reasoning
Repurposing existing robotic platforms for emergency response represents a logical and obvious extension of autonomous system design principles
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856882, a person having ordinary skill in the art would find the technical variations disclosed herein to be obvious extensions of the prior art, representing predictable combinations of known techniques in autonomous robotic agricultural systems. The proposed modifications constitute obvious design variations that would be readily conceived by a skilled practitioner without requiring inventive insight beyond the existing technological framework.

Original Patent Information

Patent NumberUS 11,856,882
TitleAutonomous robot system for steep terrain farming operations
Assignee(s)Kansas Stte University Research Foundation