Robot-Assisted Environmental Sustainability Systems

Publication ID: 24-11857281_0002_PTD
Published: November 07, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Robot-Assisted Environmental Sustainability Systems,” Published Technical Disclosure No. 24-11857281_0002_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857281_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. 11,857,281.

Summary of the Inventive Concept

This inventive concept leverages the core technology of robot-assisted driving systems to develop innovative solutions for environmental sustainability, pollution control, and natural resource management in various industries.

Background and Problem Solved

The original patent focused on robot-assisted driving systems for medical applications, but the limitations of this technology in addressing environmental issues are evident. The new inventive concept addresses the pressing need for efficient and effective solutions to monitor and control environmental pollution, optimize crop yields, explore underwater environments, detect wildfires, and conduct search and rescue operations.

Detailed Description of the Inventive Concept

The new inventive concept encompasses a range of systems and methods that adapt the core technology of robot-assisted driving systems to tackle diverse environmental challenges. For instance, a network of sensors and robotic vehicles can be deployed to detect and remediate pollution sources, while robot-assisted submersible vehicles can explore underwater environments. Similarly, robot-assisted aerial vehicles can be used for search and rescue operations, and machine learning algorithms can predict high-risk areas for wildfires. These systems and methods provide targeted solutions for environmental sustainability, pollution control, and natural resource management.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift by applying the core technology of robot-assisted driving systems to entirely new industries and applications, thereby providing a non-obvious and innovative solution to pressing environmental challenges.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of swarm robotics, autonomous drones, or satellite imaging to enhance the efficiency and effectiveness of environmental monitoring and control. Variations of the concept could also involve integrating machine learning algorithms with IoT sensors to predict and prevent environmental disasters.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in industries such as environmental consulting, agriculture, oil and gas, search and rescue, and natural resource management. The market for environmental sustainability solutions is rapidly growing, and the new inventive concept is poised to capitalize on this trend by providing innovative and effective solutions to pressing environmental challenges.

Field of Art

Robotics, control systems, and autonomous vehicle technologies with emphasis on sensor-based navigation and environmental interaction systems

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in robotics, control systems, and sensor integration, possessing knowledge of autonomous vehicle technologies, machine learning, and interdisciplinary system design

Obviousness Rationale

A PHOSITA would recognize that the core robotic driving system technologies disclosed in the source patent can be readily adapted to environmental monitoring and control applications by applying standard engineering techniques of sensor integration, autonomous navigation, and domain-specific task optimization. The fundamental robotic control and navigation principles are transferable across different operational contexts, making the environmental sustainability applications a predictable extension of the existing technological framework.

Obvious Combinations & Variations

Source Patent Element
Instrument with elongate members and robotic arm for precise positioning and navigation
PTD Variation
Robotic vehicle with sensors for environmental pollution detection and remediation
Obviousness Reasoning
A PHOSITA would recognize that the precise positioning and navigation techniques from medical robotic systems can be directly applied to environmental monitoring vehicles using known sensor integration techniques
Source Patent Element
Control system for tracking instrument movement and location
PTD Variation
Machine learning algorithms for predicting environmental risks like wildfires
Obviousness Reasoning
The source patent's tracking and control methodologies provide a predictable foundation for developing predictive monitoring systems using standard machine learning techniques
Source Patent Element
Instrument capable of traversing anatomical passageways
PTD Variation
Autonomous underwater and aerial vehicles for exploration and monitoring
Obviousness Reasoning
The core navigation and control principles for traversing complex environments are directly transferable between medical and environmental robotic systems
Source Patent Element
Visual path indication and user interface for instrument guidance
PTD Variation
Real-time tracking and control systems for environmental monitoring robots
Obviousness Reasoning
User interface and visualization techniques for robotic system control are well-established and can be readily adapted across different application domains
Source Patent Element
Robotic system with multiple interconnected components
PTD Variation
Network of sensors and robotic vehicles for comprehensive environmental monitoring
Obviousness Reasoning
Distributed sensor networks and interconnected robotic systems represent a known and predictable extension of existing robotic control architectures
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857281 and the disclosed variations, a person of ordinary skill in the art would find the environmental sustainability applications obvious and predictable extensions of existing robotic control and navigation technologies. The systematic application of known robotic principles to environmental monitoring represents a routine engineering design choice that would not rise to the level of non-obvious innovation.

Original Patent Information

Patent NumberUS 11,857,281
TitleRobot-assisted driving systems and methods
Assignee(s)Auris Health, Inc.