Published Technical Disclosure Archive

Autonomous Robotic Rover Swarm for Property Monitoring

Publication ID: 24-11856938_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Robotic Rover Swarm for Property Monitoring,” Published Technical Disclosure No. 24-11856938_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856938_0010_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. 11,856,938.

Background and Problem Solved

The original patent, 'Robotic rover', addressed the need for autonomous drones to monitor properties. However, it had limitations in terms of comprehensive coverage and adaptability to changing environmental conditions. The new invention overcomes these limitations by introducing a swarm of robotic rovers that work together to ensure thorough property monitoring and adapt to various environmental factors.

Novelty and Inventive Step

The new invention introduces a swarm of robotic rovers that collaborate to ensure comprehensive coverage of a property, whereas the original patent only described a single drone. The use of AI-powered analytics, real-time data, and predictive modeling to optimize animal detection and deterrence is also a significant departure from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different types of sensors, such as thermal imaging or acoustic sensors, or the integration of other technologies, such as drones or satellite imaging, to enhance the system's capabilities. Variations could also include adapting the system for use in different environments, such as urban or wilderness areas.

Potential Commercial Applications and Market

The autonomous robotic rover swarm system has significant commercial potential in the property monitoring and animal control industries. It could be marketed to property owners, agricultural companies, and government agencies, offering a more effective and efficient solution for detecting and deterring unwanted animals.

CPC Classifications

SectionClassGroup
A A01 A01M29/00
A A01 A01M7/0042
A A01 A01M7/0085
A A01 A01M7/0089
G G05 G05D1/0088
G G05 G05D1/0094
G G06 G06V20/52
G G05 G05D2201/0207

Field of Art

Autonomous robotic systems for property monitoring and animal detection, involving drone/rover technologies, sensor integration, and AI-powered navigation systems. Expertise requires advanced understanding of robotics, computer vision, machine learning, and environmental monitoring technologies.

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with graduate-level training in autonomous systems, proficient in sensor design, machine learning algorithms, multi-agent coordination, and adaptive navigation techniques. Familiar with drone/rover technologies and animal detection methodologies.

Obviousness Rationale

A PHOSITA would recognize that expanding a single drone monitoring system into a coordinated swarm represents a predictable engineering solution for improving property coverage. The integration of AI-powered analytics and dynamic route adjustment are natural technological progressions that leverage existing autonomous navigation and sensing capabilities inherent in the source patent's drone design.

Obvious Combinations & Variations

Source Patent Element
Drone with sensor for generating sensor data and analyzing property conditions
PTD Variation
Swarm of robotic rovers with collaborative sensing and comprehensive property coverage
Obviousness Reasoning
Scaling a single-drone monitoring approach to multiple coordinated rovers is a straightforward design optimization that would be obvious to improve surveillance efficiency and reduce coverage gaps
Source Patent Element
Drone with image analysis capabilities for detecting unwanted animals
PTD Variation
AI-powered analytics with predictive modeling and real-time data integration
Obviousness Reasoning
Enhancing sensor data analysis with machine learning represents a known technique for improving detection accuracy and creating proactive monitoring systems
Source Patent Element
Property monitoring drone with water nozzle for animal deterrence
PTD Variation
Dynamic patrol route adjustment based on environmental conditions and animal behavior prediction
Obviousness Reasoning
Adapting rover behavior through intelligent navigation is a predictable extension of existing autonomous control systems, representing an incremental technological improvement
Source Patent Element
Single drone with sensor data processing capabilities
PTD Variation
Central hub receiving and analyzing data from multiple robotic rovers
Obviousness Reasoning
Implementing a centralized data processing and coordination system is a standard architectural approach for managing multi-agent robotic systems
Source Patent Element
Drone configured to receive signals and analyze environmental data
PTD Variation
Sensor suite detecting and responding to weather, terrain, and vegetation changes
Obviousness Reasoning
Expanding sensor capabilities to provide more comprehensive environmental awareness represents a logical progression in autonomous system design
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856938, a person having ordinary skill in the art would find the claimed variations of a multi-rover property monitoring system with AI-powered analytics and dynamic route optimization to be obvious extensions of the prior art, lacking any non-obvious inventive step beyond the predictable application of known autonomous robotic technologies.

Original Patent Information

Patent NumberUS 11,856,938
TitleRobotic rover
Assignee(s)Alarm.com Incorporated