Robotic fish with tunable stiffness soft tail based on bionic spinal muscle system

Jinan Yu , Jian Wang , Sijie Li , Xiaofei Wang , Xiaocun Liao , Penghang Shuai , Zhengxing Wu

Biomimetic Intelligence and Robotics ›› 2026, Vol. 6 ›› Issue (2) : 100285

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Biomimetic Intelligence and Robotics ›› 2026, Vol. 6 ›› Issue (2) :100285 DOI: 10.1016/j.birob.2026.100285
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Robotic fish with tunable stiffness soft tail based on bionic spinal muscle system
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Abstract

Changes in muscle state in vertebrates directly influence their movement properties, offering inspiration for research on bionic robotic fish. This paper presents an untethered robotic fish equipped with a novel soft tail, which mimics the ability of real fish to modulate tail stiffness in real time. Inspired by the musculoskeletal system of organisms, the soft tail presented in this work primarily utilizes electrorheological fluid (ERF) and features a bionic structure mainly composed of a printed circuit board (PCB) with microfibers attached. Under the influence of a strong electric field, both the stiffness and damping of the tail increase simultaneously, thereby altering the hydrodynamic characteristics of the tail. Experiments demonstrate that the maximum increase in bending stiffness reaches 12% at a 5 kV voltage input. In dynamic tests, both thrust and swimming speed exhibit a strong correlation with stiffness. Under certain amplitudes and frequencies of the tailbeat, the swimming performance is effectively improved. Furthermore, active stiffness modulation facilitates progressive convergence toward the optimal Strouhal number regime observed in real fish. This study offers a novel approach to construct bionic robotic fish and highlights the effectiveness of stiffness adjustment in enhancing swimming performance.

Keywords

Biomimetic robot / Robotic fish / Variable stiffness / Soft fishtail

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Jinan Yu, Jian Wang, Sijie Li, Xiaofei Wang, Xiaocun Liao, Penghang Shuai, Zhengxing Wu. Robotic fish with tunable stiffness soft tail based on bionic spinal muscle system. Biomimetic Intelligence and Robotics, 2026, 6 (2) : 100285 DOI:10.1016/j.birob.2026.100285

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CRediT authorship contribution statement

Jinan Yu: Writing – original draft, Validation, Software, Resources, Methodology, Investigation, Formal analysis, Conceptualization. Jian Wang: Writing – review & editing, Writing – original draft. Sijie Li: Writing – review & editing, Writing – original draft. Xiaofei Wang: Writing – review & editing, Writing – original draft. Xiaocun Liao: Writing – review & editing, Writing – original draft. Penghang Shuai: Writing – review & editing, Writing – original draft. Zhengxing Wu: Writing – review & editing, Supervision, Project administration, Funding acquisition, Formal analysis, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported in part by the National Nature Science Foundation of China (62433021, and 62373353) and in part by Beijing Natural Science Foundation (JQ24026).

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