Adaptive Robotic-Assisted Driving Systems for Specialized Environments

Publication ID: 24-11857281_0004_PTD
Published: November 07, 2025
Category:Specialized Variations & Niche Solutions

Legal Citation

pr1or.art Inc., “Adaptive Robotic-Assisted Driving Systems for Specialized Environments,” Published Technical Disclosure No. 24-11857281_0004_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857281_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. 11,857,281.

Summary of the Inventive Concept

The inventive concept discloses a range of specialized robotic-assisted driving systems tailored to operate in unique operational environments, such as high-security zones, disaster relief scenarios, extreme weather conditions, areas with limited infrastructure, and high population density areas.

Background and Problem Solved

The original patent, 'Robot-assisted driving systems and methods', provides a foundation for flexible medical instruments and tracking/control systems. However, these systems may not be suitable for specific, narrow markets or unique operational environments. The new inventive concept addresses these limitations by adapting the robotic-assisted driving technology to cater to these specialized needs.

Detailed Description of the Inventive Concept

The new inventive concept comprises a series of specialized robotic-assisted driving systems, each designed to operate in a distinct environment. For high-security zones, the system includes sensors to detect and respond to security threats. In disaster relief scenarios, the system receives real-time data on environmental conditions and adapts to navigate through the disaster zone. For extreme weather conditions, the system features a weather-resistant housing and self-cleaning mechanism. In areas with limited infrastructure, the system includes a portable power source and communication module for remote monitoring and control. Lastly, in high population density areas, the system utilizes machine learning algorithms to predict and adapt to pedestrian traffic patterns. These specialized systems enable safe, efficient, and effective operation in diverse environments.

Novelty and Inventive Step

The new claims introduce novel adaptations of the original robotic-assisted driving technology to address the unique challenges of specialized environments. These adaptations, including sensors for security threats, real-time environmental data, weather-resistant housing, portable power sources, and machine learning algorithms for pedestrian traffic patterns, provide a non-obvious and innovative solution to the problem of operating in these environments.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integration with autonomous vehicles, implementation of advanced navigation systems, or incorporation of additional sensors for enhanced environmental awareness. Variations could also include adapting the system for use in other specialized environments, such as search and rescue operations or agricultural applications.

Potential Commercial Applications and Market

The adaptive robotic-assisted driving systems have significant commercial potential in various industries, including security, disaster relief, logistics, and transportation. The target markets include government agencies, private security firms, disaster relief organizations, and companies operating in areas with limited infrastructure or extreme weather conditions.

Field of Art

Robotic systems and autonomous driving technologies, with expertise in sensor integration, environmental adaptation, and control systems for complex operational environments

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in robotics, mechanical engineering, or computer science, possessing knowledge of sensor technologies, machine learning, and adaptive control systems for autonomous platforms

Obviousness Rationale

A person of ordinary skill would recognize that the source patent's robotic-assisted driving system provides a fundamental framework that can be readily adapted to specialized environments through predictable sensor and control modifications. The PTD's variations represent logical extensions of existing robotic driving technologies by applying known techniques of environmental sensing and adaptive control to specific operational contexts. These modifications would be considered routine engineering design choices that a skilled practitioner could implement using standard techniques in sensor integration and machine learning.

Obvious Combinations & Variations

Source Patent Element
Instrument driver and control system for robotic movement
PTD Variation
Adding specialized sensors for security threat detection in high-security environments
Obviousness Reasoning
Integrating additional sensors is a predictable modification for enhancing situational awareness, representing a known technique for expanding robotic system capabilities
Source Patent Element
Robotic system with environmental tracking capabilities
PTD Variation
Implementing machine learning algorithms to predict pedestrian traffic patterns
Obviousness Reasoning
Applying machine learning to environmental sensing is a standard approach for improving autonomous system responsiveness, representing an obvious optimization technique
Source Patent Element
Instrument control system with adaptable movement capabilities
PTD Variation
Creating weather-resistant housing with self-cleaning mechanisms for extreme environments
Obviousness Reasoning
Developing environmental protection for robotic systems is a routine engineering solution for expanding operational contexts, using known materials and design techniques
Source Patent Element
Robotic system with remote communication capabilities
PTD Variation
Adding portable power sources and enhanced communication modules for limited infrastructure scenarios
Obviousness Reasoning
Extending power and communication capabilities represents a predictable design choice for improving system autonomy and operational range
Source Patent Element
Robotic driving system with environmental tracking
PTD Variation
Real-time data integration for adaptive navigation in disaster relief scenarios
Obviousness Reasoning
Implementing dynamic environmental data processing is a standard approach for enhancing robotic system responsiveness in complex environments
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this publication would be considered obvious to a person having ordinary skill in the art at the time of invention, when viewed in light of US Patent 11857281. The disclosed adaptations represent predictable extensions of existing robotic driving technologies through routine engineering modifications that would be apparent to a skilled practitioner, thereby rendering potential claims covering such variations unpatentable as obvious variations of the prior art.

Original Patent Information

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