A Review of Variable Stiffness in Continuum Robots: Mechanisms, Modeling and Control

Variable stiffness endows continuum robots with both compliance and tunable rigidity, making them promising alternatives to traditional rigid manipulators in confined and unstructured environments. Over the past decade, great progress has been made in variable stiffness technologies involving structural design, actuation, modeling, and control. However, current research is fragmented and mostly focuses on individual aspects, lacking a systematic review and a unified framework integrating structure, modeling, and control. This paper presents a comprehensive review of variable stiffness in continuum robots, emphasizing the interrelationships among stiffness principles, modeling, and control strategies. We summarize classical and emerging variable stiffness methods, analyze their integration with control approaches, and evaluate the evolution of control strategies, especially multi-modal fusion of actuation, sensing, and control. Such fusion can improve control accuracy and robustness in human-centered environments and is regarded as a key driver for next-generation intelligent continuum robots. Finally, we outline future directions, highlight the “actuation–stiffness–control” paradigm, and discuss existing challenges and open research opportunities for high-performance intelligent control.

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Publication Details

Journal
Machines
Published
2026-05-21
DOI
https://doi.org/10.3390/machines14050572
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

A Review of Variable Stiffness in Continuum Robots: Mechanisms, Modeling and Control

Su Zhao, Huanyu Deng, D. Cheng, Yongzhuo Gao et al.
Machines
Soft Robotics and Applications
article

A Review of Variable Stiffness in Continuum Robots: Mechanisms, Modeling and Control

Su Zhao, Huanyu Deng, D. Cheng, Yongzhuo Gao, Z J Du, Compus Gan Yu Hong, Hui Dong, Wei Dong, Tianao Zhang
article en

Abstract

Variable stiffness endows continuum robots with both compliance and tunable rigidity, making them promising alternatives to traditional rigid manipulators in confined and unstructured environments. Over the past decade, great progress has been made in variable stiffness technologies involving structural design, actuation, modeling, and control. However, current research is fragmented and mostly focuses on individual aspects, lacking a systematic review and a unified framework integrating structure, modeling, and control. This paper presents a comprehensive review of variable stiffness in continuum robots, emphasizing the interrelationships among stiffness principles, modeling, and control strategies. We summarize classical and emerging variable stiffness methods, analyze their integration with control approaches, and evaluate the evolution of control strategies, especially multi-modal fusion of actuation, sensing, and control. Such fusion can improve control accuracy and robustness in human-centered environments and is regarded as a key driver for next-generation intelligent continuum robots. Finally, we outline future directions, highlight the “actuation–stiffness–control” paradigm, and discuss existing challenges and open research opportunities for high-performance intelligent control.

MachinesVol. 14(5)
Harbin Medical University (CN), Harbin Institute of Technology (CN), State Key Laboratory of Robotics and Systems (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 10%
Soft Robotics and Applications
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