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Published on: June 10, 2020
Towards an ontology for soft robots: what is soft?
Kevin Chubb1, Damon Berry, Ted Burke
1School of Electrical and Electronic Engineering, Technological University Dublin, Kevin Street, Dublin 8, Ireland. Address correspondence to: Greenway Hub, TU Dublin, Grangegorman, Dublin 8, Ireland.
This study clarifies the definition of soft robotics, proposing a classification system for existing soft robots. It also resolves discrepancies in Young's modulus criteria for soft materials.
Area of Science:
- Robotics
- Materials Science
- Ontology Engineering
Background:
- The field of soft robotics is rapidly evolving, leading to a diverse range of robots.
- Existing definitions of soft robots are insufficient to encompass the current variety of designs.
- There is a need for a standardized understanding and classification of soft robotic systems.
Purpose of the Study:
- To establish a coherent definition of 'soft' in the context of soft robotics.
- To develop a classification system for existing soft robots, forming the basis of a soft robotic ontology.
- To clarify and reconcile discrepancies in the commonly used Young's modulus ranges for soft materials.
Main Methods:
- Conducting a comprehensive literature review of soft robot descriptions.
- Analyzing various definitions to identify common characteristics and establish a coherent meaning for 'soft'.
- Developing a classification framework for soft robots based on literature analysis and material properties.
Main Results:
- A refined definition of soft robotics is proposed, accommodating a wider range of existing robots.
- A novel classification system for soft robots is presented, facilitating the development of a soft robotic ontology.
- Discrepancies in Young's modulus ranges for soft materials are explained, with visual comparisons and supporting data provided.
Conclusions:
- The proposed definition and classification enhance the understanding and standardization of soft robotics.
- The developed ontology framework will aid in future research and development of soft robotic systems.
- Clarification of material property criteria, such as Young's modulus, supports informed material selection in soft robot design.
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