Advanced Motorized Platforms for Efficient Walking

Publication ID: 24-11857864_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Motorized Platforms for Efficient Walking,” Published Technical Disclosure No. 24-11857864_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857864_0001_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. 11,857,864.

Summary of the Inventive Concept

The present invention relates to advanced motorized walking platforms that enhance user experience, safety, and efficiency, while addressing the limitations of existing motorized walking systems.

Background and Problem Solved

The original motorized walking system, while innovative, had limitations in terms of balance and stability, maintenance, adaptability, user feedback, and personalized experience. The present invention addresses these limitations by introducing a stabilizing mechanism, modular design, adaptive gear system, user feedback system, and machine learning integration, thereby providing a more efficient, safe, and enjoyable walking experience.

Detailed Description of the Inventive Concept

The advanced motorized walking system comprises two motorized walking enhancement platforms, each featuring a stabilizing mechanism electronically coupled to the control circuitry, which dynamically adjusts motor speed in response to changes in user balance. The platforms are designed to be modular and detachable, allowing for easy replacement or upgrade of individual components. The drive assembly further comprises an adaptive gear system, capable of automatically adjusting gear ratios in response to changes in terrain or user input, thereby optimizing power output and efficiency. Additionally, the system includes a user feedback system, providing real-time feedback to the user on their walking performance, and a machine learning algorithm integrated into the control circuitry, which learns the user's walking patterns and preferences, and adjusts motor output accordingly.

Novelty and Inventive Step

The present invention's novelty lies in the integration of a stabilizing mechanism, modular design, adaptive gear system, user feedback system, and machine learning integration, which collectively provide a significant improvement over existing motorized walking systems. The inventive step resides in the dynamic adjustment of motor speed in response to user balance, the adaptive gear system's ability to optimize power output, and the machine learning algorithm's capacity to learn and adapt to user preferences.

Alternative Embodiments and Variations

Alternative embodiments of the advanced motorized walking system may include variations in the stabilizing mechanism, such as using gyroscopes or accelerometers, or incorporating additional sensors to enhance balance and stability. The modular design could be adapted to accommodate different types of terrain or user preferences, and the adaptive gear system could be integrated with other types of motorized systems. Furthermore, the user feedback system could be expanded to provide additional metrics or insights, and the machine learning algorithm could be integrated with other wearable devices or health monitoring systems.

Potential Commercial Applications and Market

The advanced motorized walking system has significant commercial potential in the health and fitness industry, as well as in urban transportation and mobility solutions. The system's ability to enhance user experience, safety, and efficiency makes it an attractive solution for individuals and businesses seeking to improve their walking capabilities. Additionally, the system's adaptability and customization options make it suitable for a wide range of users, from casual walkers to athletes and individuals with mobility impairments.

CPC Classifications

SectionClassGroup
A A63 A63C17/12
A A63 A63C2203/12
A A63 A63C2203/18
A A63 A63C2203/22
A A63 A63C2203/50

Field of Art

Motorized mobility platforms and wearable mechanical assist devices, specifically focusing on personal transportation enhancement technologies involving mechatronic systems with integrated motor control and user interaction interfaces

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer with expertise in robotics, mechatronics, and human-machine interfaces, possessing knowledge of motor control systems, gear reduction technologies, and adaptive mechanical design principles

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's disclosed variations represent predictable technological extensions of the source patent's core motorized walking platform concept, utilizing standard engineering techniques to enhance functionality through modular design, adaptive control systems, and integrated feedback mechanisms that are well-established in the field of mechanical assistance technologies.

Obvious Combinations & Variations

Source Patent Element
Motorized walking platforms with drive assemblies and control circuitry
PTD Variation
Adding a stabilizing mechanism electronically coupled to control circuitry to dynamically adjust motor speed based on user balance
Obviousness Reasoning
Integrating balance sensing technologies is a known technique in mobility assist devices, representing a predictable application of sensor feedback to improve user safety and performance
Source Patent Element
Drive assembly with gear reduction units
PTD Variation
Implementing an adaptive gear system capable of automatically adjusting gear ratios in response to terrain or user input
Obviousness Reasoning
Adaptive gear systems are a standard engineering solution for optimizing power transmission across variable conditions, representing an obvious design improvement for motorized mobility platforms
Source Patent Element
Communication unit for wireless control
PTD Variation
Incorporating a machine learning algorithm into control circuitry to learn user walking patterns and preferences
Obviousness Reasoning
Integrating adaptive machine learning into control systems is a well-known approach for personalizing user experience, representing a predictable technological evolution in human-machine interaction
Source Patent Element
Base frame with modular components
PTD Variation
Designing platforms to be explicitly modular and detachable for easy component replacement and upgrade
Obviousness Reasoning
Modular design is a standard engineering practice for improving maintainability and reducing long-term ownership costs, representing an obvious design optimization
Source Patent Element
Control circuitry with sensor integration
PTD Variation
Adding a user feedback system providing real-time performance metrics
Obviousness Reasoning
Performance tracking and user feedback interfaces are standard features in mobility assist technologies, representing a predictable enhancement to existing control systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857864 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking inventive step, as the PTD demonstrates that the proposed enhancements represent predictable technological extensions utilizing standard engineering techniques within the known capabilities of motorized mobility platform design.

Original Patent Information

Patent NumberUS 11,857,864
TitleMotorized platforms for walking