Autonomous Patient Lifting and Care System

Publication ID: 24-11857478_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Patient Lifting and Care System,” Published Technical Disclosure No. 24-11857478_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857478_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. 11,857,478.

Summary of the Inventive Concept

A next-generation patient lifting robot system that leverages advanced AI, sensors, and autonomous navigation to revolutionize patient care and safety in healthcare environments.

Background and Problem Solved

The original patient lifting robot, while innovative, had limitations in terms of adaptability, safety, and user experience. The new inventive concept addresses these limitations by introducing a self-reconfiguring frame, advanced AI-powered sensors, and autonomous navigation capabilities to ensure safe and efficient patient lifting and transfer.

Detailed Description of the Inventive Concept

The new patient lifting robot system features a modular, self-reconfiguring frame that adapts to various patient sizes and weights. Advanced AI-powered sensors predict and prevent potential lifting accidents, while real-time biometric monitoring and AI-powered analytics detect early signs of patient distress. The system also includes augmented reality (AR) visualization for caregivers, providing real-time, 3D visual feedback on patient lifting and transfer procedures. Furthermore, the robot features autonomous navigation capabilities, enabling it to independently navigate complex healthcare environments and locate patients in need of assistance. Interchangeable, specialized lifting modules cater to specific patient populations, such as bariatric or pediatric patients.

Novelty and Inventive Step

The new claims introduce a paradigm shift in patient lifting technology by integrating advanced AI, sensors, and autonomous navigation. The self-reconfiguring frame, AI-powered sensors, and AR visualization are novel features that significantly improve patient safety and caregiver experience. The autonomous navigation capability and modular design also represent a substantial inventive step compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments could include varying the type of AI-powered sensors, using different materials for the self-reconfiguring frame, or incorporating additional features such as voice assistance or environmental sensors. Variations could also include adapting the system for use in non-healthcare environments, such as in-home care or rehabilitation centers.

Potential Commercial Applications and Market

The Autonomous Patient Lifting and Care System has significant commercial potential in the healthcare industry, particularly in hospitals, nursing homes, and rehabilitation centers. The system's advanced features and improved safety profile could also lead to increased adoption in non-healthcare environments, such as in-home care and assisted living facilities.

CPC Classifications

SectionClassGroup
A A61 A61G7/1019
A A61 A61G7/053
A A61 A61G7/1048
A A61 A61G7/1061
B B25 B25J5/007
B B25 B25J11/009
B B25 B25J18/025
A A61 A61G2203/32

Field of Art

Medical robotics and assistive technology, specifically patient lifting and transfer systems, involving mechanical engineering, sensor technologies, and healthcare automation

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with expertise in medical robotics, mechanical design, sensor integration, and human-machine interfaces, typically holding a master's or PhD in mechanical/biomedical engineering with 3-5 years of experience in assistive technology development

Obviousness Rationale

A PHOSITA would recognize that the PTD's advanced features represent predictable technological extensions of the source patent's foundational patient lifting robot design. The integration of AI, autonomous navigation, and modular sensing represents incremental improvements using well-established techniques in robotics and medical technology. The core mechanical lifting functionality remains fundamentally consistent with the original patent's framework, with added intelligent sensing and adaptive capabilities.

Obvious Combinations & Variations

Source Patent Element
Telescopically adjustable frame with height and width control mechanisms
PTD Variation
Self-reconfiguring frame that adapts to patient sizes using AI-powered sensors
Obviousness Reasoning
Adaptive frame design is a predictable evolution of existing adjustable lifting mechanisms, representing a simple technological progression using known sensor integration techniques
Source Patent Element
Force sensing control using load sensors and potentiometers
PTD Variation
Advanced AI-powered biometric sensors for predicting and preventing lifting accidents
Obviousness Reasoning
Extending force sensing to comprehensive biometric monitoring represents a logical application of existing sensor control principles in medical robotics
Source Patent Element
Human-robot interaction interface for adjusting robot parameters
PTD Variation
Augmented reality visualization providing real-time 3D feedback on lifting procedures
Obviousness Reasoning
Enhanced user interface technologies are a predictable design improvement using known visualization and interaction techniques
Source Patent Element
Vertical telescopically collapsible columns with hoist system
PTD Variation
Modular lifting system with interchangeable specialized modules for different patient populations
Obviousness Reasoning
Modular design represents a standard engineering approach to creating adaptable robotic systems with finite configuration possibilities
Source Patent Element
Patient lifting robot with adjustable frame
PTD Variation
Autonomous navigation capabilities for independent patient location and assistance
Obviousness Reasoning
Integrating autonomous navigation is a predictable technological progression in robotic systems, utilizing established robotics navigation techniques
35 U.S.C. § 103 Summary: Based on US Patent 11857478's foundational patient lifting robot design, the present publication demonstrates that the claimed variations in patient lifting technology would have been obvious to a person of ordinary skill in the art at the time of invention. The incremental technological improvements represent predictable extensions of existing robotic lifting mechanisms, utilizing standard sensor integration, AI, and navigation techniques known in medical robotics and assistive technology fields.

Original Patent Information

Patent NumberUS 11,857,478
TitlePatient lifting robot
Assignee(s)Blue Ocean Robotics, ApS