A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits, adaptability is particularly noteworthy. In this article, adaptability in soft robots is categorized into external and internal adaptability. External adaptability refers to the robot’s ability to adjust, either passively or actively, to variations in environments, object properties, geometries, and task dynamics. Internal adaptability refers to the robot’s ability to cope with internal variations, such as manufacturing tolerances or material aging, and to generalize control strategies across different robots. As the field of soft robotics continues to evolve, the significance of adaptability has become increasingly pronounced. In this review article, we summarize various approaches to enhancing the adaptability of soft robots, including design, sensing, and control strategies. Additionally, we assess the impact of adaptability on applications such as surgery, wearable devices, locomotion, and manipulation. We also discuss the limitations of soft robotics adaptability and prospective directions for future research. By analyzing adaptability through the lenses of implementation, application, and challenges, this article aims to provide a comprehensive understanding of this essential characteristic in soft robotics and its implications for diverse applications.

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Publication Details

Journal
IEEE Robotics & Automation Magazine
Published
2025-01-01
DOI
https://doi.org/10.1109/mra.2025.3584346
Citations
5
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
3.57
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article

A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

Josie Hughes, Zixi Chen, Thomas George Thuruthel, Federico Renda et al.
5 citations
IEEE Robotics & Automation Magazine
Modular Robots and Swarm Intelligence
3.57
article

A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

Josie Hughes, Zixi Chen, Thomas George Thuruthel, Federico Renda, Cosimo Della Santina, Huichan Zhao, Cesare Stefanini, Di Wu, Barbara Mazzolai, Qinghua Guan, David Hardman
article en
5 citations

Abstract

Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits, adaptability is particularly noteworthy. In this article, adaptability in soft robots is categorized into external and internal adaptability. External adaptability refers to the robot’s ability to adjust, either passively or actively, to variations in environments, object properties, geometries, and task dynamics. Internal adaptability refers to the robot’s ability to cope with internal variations, such as manufacturing tolerances or material aging, and to generalize control strategies across different robots. As the field of soft robotics continues to evolve, the significance of adaptability has become increasingly pronounced. In this review article, we summarize various approaches to enhancing the adaptability of soft robots, including design, sensing, and control strategies. Additionally, we assess the impact of adaptability on applications such as surgery, wearable devices, locomotion, and manipulation. We also discuss the limitations of soft robotics adaptability and prospective directions for future research. By analyzing adaptability through the lenses of implementation, application, and challenges, this article aims to provide a comprehensive understanding of this essential characteristic in soft robotics and its implications for diverse applications.

IEEE Robotics & Automation Magazine
Scuola Superiore Sant'Anna (IT), Khalifa University of Science and Technology (AE), University of Southern Denmark (DK), Maersk (Denmark) (DK), Italian Institute of Technology (IT), Bridge University (SS), University College London (GB), École Polytechnique Fédérale de Lausanne (CH), Delft University of Technology (NL), Tsinghua University (CN)
Openalex Percentile: Top 7%
Modular Robots and Swarm Intelligence
3.57
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