Autonomous Knee Walker with Adaptive Steering and Biomechanical Feedback

Publication ID: 24-11857485_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Knee Walker with Adaptive Steering and Biomechanical Feedback,” Published Technical Disclosure No. 24-11857485_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857485_0010_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. 11,857,485.

Summary of the Inventive Concept

A next-generation knee walker system incorporating advanced technologies such as neural networks, machine learning, and biomechanical sensors to enhance user experience, stability, and rehabilitation outcomes.

Background and Problem Solved

The original knee walker with four-wheel steering, while improving maneuverability and stability, still relies on user input and lacks real-time adaptability to changing environmental and user conditions. This new inventive concept addresses these limitations by integrating predictive steering, dynamic steering ratio adjustment, and advanced biomechanical feedback to create a more autonomous and supportive ambulatory device.

Detailed Description of the Inventive Concept

The autonomous knee walker system comprises a neural network-based predictive steering module that utilizes machine learning algorithms to anticipate and adjust steering inputs based on user behavior and environmental factors. The system also features dynamic steering ratio adjustment, which is based on real-time feedback from sensors monitoring the user's gait and balance. Additionally, the knee walker incorporates an integrated exoskeleton system, providing additional support and stability to the user's legs and knees during ambulation. The modular design enables users to customize their device for various terrain and mobility requirements. Advanced biomechanical sensors and analytics track and provide real-time feedback on the user's rehabilitation progress and mobility metrics.

Novelty and Inventive Step

The new claims introduce a paradigm shift in knee walker technology by integrating autonomous and adaptive features, which are not present in the original patent. The use of neural networks, machine learning, and biomechanical sensors to enhance user experience and rehabilitation outcomes is novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the neural network architecture, sensor types, and exoskeleton design. Additionally, the system could be integrated with virtual or augmented reality platforms to provide immersive rehabilitation experiences or with wearable devices to track user health metrics.

Potential Commercial Applications and Market

The autonomous knee walker system has significant commercial potential in the healthcare and rehabilitation industries, particularly in the areas of post-operative care, injury rehabilitation, and mobility assistance for the elderly and disabled. The system's advanced features and adaptive capabilities make it an attractive solution for healthcare providers, insurers, and individuals seeking to improve rehabilitation outcomes and reduce healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61H3/04
B B62 B62K5/003
B B62 B62K25/02
A A61 A61H2003/005
A A61 A61H2003/046
B B62 B62K2025/025

Field of Art

Mobility assistive devices, specifically knee walkers and ambulatory support systems, encompassing mechanical design, biomechanical engineering, and assistive technology with expertise in mechanical linkages, steering mechanisms, and rehabilitation engineering

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or mechanical engineer with 3-5 years experience in assistive mobility device design, familiar with rehabilitation technologies, mechanical steering systems, and sensor integration techniques

Obviousness Rationale

A PHOSITA would recognize that integrating neural network-based adaptive steering and biomechanical feedback into a knee walker represents a predictable technological evolution of existing mobility assistance systems. The fundamental mechanical structure of the knee walker remains consistent with the source patent, while the proposed enhancements represent incremental improvements using known machine learning and sensor technologies. The modular design and adaptive steering concepts are logical extensions of existing mobility device engineering principles.

Obvious Combinations & Variations

Source Patent Element
Four-wheel steering mechanism with linkage connections
PTD Variation
Neural network-based predictive steering module utilizing machine learning algorithms
Obviousness Reasoning
Applying machine learning to existing mechanical steering systems is a known technique in mobility device engineering, representing a predictable application of computational intelligence to improve user experience
Source Patent Element
Body frame with crossbar and steering column configuration
PTD Variation
Integrated exoskeleton system providing additional leg and knee support
Obviousness Reasoning
Augmenting mobility devices with supplemental support structures is a common design approach in assistive technology, representing a finite and predictable solution to enhancing user stability
Source Patent Element
Basic knee walker mechanical design
PTD Variation
Biomechanical sensors tracking rehabilitation progress and mobility metrics
Obviousness Reasoning
Incorporating sensor-based feedback systems into mobility devices is a well-established technique for monitoring user performance and rehabilitation outcomes
Source Patent Element
Wheel and axle assembly configuration
PTD Variation
Modular design with interchangeable components for terrain adaptability
Obviousness Reasoning
Developing modular mobility devices with customizable components is a standard design approach in assistive technology, representing an obvious extension of existing engineering practices
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857485 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed autonomous knee walker system with adaptive steering and biomechanical feedback to be an obvious combination of prior art techniques. The proposed innovations represent predictable technological improvements utilizing standard engineering methodologies in mobility assistance device design.

Original Patent Information

Patent NumberUS 11,857,485
TitleKnee walker with four-wheel steering
Assignee(s)ROVER MOBILITY, LLC