Adaptive Robotic-Assisted Driving Systems for Specialized Environments
Legal Citation
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.
Section 103 Obviousness Analysis (PHOSITA)
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
Original Patent Information
| Patent Number | US 11,857,281 |
|---|---|
| Title | Robot-assisted driving systems and methods |
| Assignee(s) | Auris Health, Inc. |