Intelligent Motorized Walking Platforms

Publication ID: 24-11857864_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Motorized Walking Platforms,” Published Technical Disclosure No. 24-11857864_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857864_0005_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

A next-generation wearable walking system that leverages artificial intelligence, neural networks, and advanced sensor arrays to anticipate and adapt to changing terrain and user behavior, providing unparalleled stability, comfort, and personalized performance.

Background and Problem Solved

The original motorized walking platforms, while enhancing walking speed and stability, have limitations in terms of adaptability, comfort, and user experience. The present inventive concept addresses these limitations by introducing a wearable walking system that integrates AI-driven predictive analytics, self-balancing mechanisms, and personalized performance optimization, thereby revolutionizing the walking experience.

Detailed Description of the Inventive Concept

The intelligent motorized walking platforms comprise a neural network-powered predictive analytics module, which continuously monitors and adapts to changing terrain and user behavior. This module is integrated with a self-balancing mechanism, ensuring optimal stability and comfort. The system further incorporates advanced sensor arrays, such as pressure sensors, gyroscopes, and accelerometers, to provide real-time feedback and personalized coaching. The modular architecture allows users to easily upgrade and swap components, staying at the forefront of walking technology advancements.

Novelty and Inventive Step

The present inventive concept introduces a paradigm shift in wearable walking systems by integrating AI-driven predictive analytics, self-balancing mechanisms, and personalized performance optimization. This combination of features, enabled by advanced sensor arrays and modular architecture, provides a significant improvement over the original motorized walking platforms, making the present inventive concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the intelligent motorized walking platforms with wearable devices, health monitoring platforms, and virtual reality environments. Variations could involve using different types of sensors, such as EMG sensors or pressure sensors, or incorporating additional features like haptic feedback or augmented reality displays.

Potential Commercial Applications and Market

The intelligent motorized walking platforms have vast commercial potential in industries such as healthcare, fitness, and urban mobility. The system's ability to provide personalized performance optimization and real-time feedback makes it an attractive solution for athletes, seniors, and individuals with mobility impairments. Additionally, the modular architecture and upgradeability feature enable a lucrative aftermarket for component upgrades and accessories.

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

Wearable mobility assistance technologies, specifically motorized walking platforms and biomechanical enhancement systems, requiring expertise in mechanical engineering, robotics, sensor integration, and human-machine interaction design

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced engineering degrees, experience in biomechatronic system design, familiarity with sensor technologies, control systems, and machine learning applications in mobility assistance devices

Obviousness Rationale

A PHOSITA would recognize that integrating artificial intelligence, predictive analytics, and advanced sensor arrays into motorized walking platforms represents a natural technological progression from the foundational walking enhancement system disclosed in the source patent. The proposed variations leverage well-established machine learning techniques and sensor integration methodologies to incrementally improve mobility assistance technologies. These enhancements would be considered predictable extensions of existing walking platform design principles.

Obvious Combinations & Variations

Source Patent Element
Motorized walking platforms with drive assemblies and communication units
PTD Variation
Neural network-powered predictive analytics module with sensor integration
Obviousness Reasoning
Integrating AI and sensor technologies represents a known technique for enhancing mobility devices, with predictable results of improved user experience and performance optimization
Source Patent Element
Wireless communication capabilities between walking platforms and control devices
PTD Variation
Real-time feedback and personalized coaching systems
Obviousness Reasoning
Extending communication technologies to provide user-specific performance metrics is a logical and predictable design evolution within mobility assistance technologies
Source Patent Element
Base frame with drive assembly and gear reduction units
PTD Variation
Modular, upgradeable architecture allowing component swapping
Obviousness Reasoning
Designing modular platforms with interchangeable components is a standard engineering approach for creating adaptable and future-proof technological systems
Source Patent Element
Motorized walking enhancement platforms with rotation speed sensors
PTD Variation
Advanced sensor arrays including gyroscopes, accelerometers, and pressure sensors
Obviousness Reasoning
Expanding sensor capabilities to provide more comprehensive motion tracking represents a predictable technological improvement using known sensor integration techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857864 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed intelligent motorized walking platforms with neural network-powered predictive analytics and advanced sensor integration to be obvious variations that do not represent a non-obvious technological advancement. The incremental improvements represent predictable applications of known techniques in mobility assistance technologies.

Original Patent Information

Patent NumberUS 11,857,864
TitleMotorized platforms for walking