Rehabilitation robotics ontology on the cloud

Area of Science:

• Robotics
• Biomedical Engineering
• Knowledge Representation

Background:

• The field of rehabilitation robotics lacks a standardized method for organizing and accessing information about diverse robotic systems and their applications.
• Existing knowledge bases are fragmented, hindering collaboration and innovation among designers, clinicians, and researchers.

Purpose of the Study:

• To introduce the first formal ontology, RehabRobo-Onto, for representing rehabilitation robots and their properties.
• To develop RehabRobo-Query, a cloud-based software system for accessing and managing the RehabRobo-Onto knowledge base.
• To facilitate knowledge sharing and retrieval for rehabilitation robot designers, physical medicine experts, and clinicians.

Main Methods:

• Development of RehabRobo-Onto, a formal ontology defining concepts and relationships relevant to rehabilitation robots.
• Implementation of RehabRobo-Query as a cloud-based system using Amazon Web Services.
• Integration of a natural language interface within RehabRobo-Query for intuitive user interaction.

Main Results:

• RehabRobo-Onto provides a structured representation of rehabilitation robot information.
• RehabRobo-Query enables collaborative data management and natural language querying of the ontology.
• The system supports designers in accessing existing robot properties and related publications.
• Clinicians can use the ontology to compare devices and evaluate their suitability for specific patient needs.

Conclusions:

• The RehabRobo-Onto and RehabRobo-Query system offers significant value to the rehabilitation robotics community.
• It enhances the state-of-the-art by facilitating access to information and promoting collaboration.
• The system empowers clinicians to make informed decisions regarding rehabilitation robot selection and application.