An Efficient Docking System for a Novel Vector‐Propelled Robotic Fish Based on Implicit Coordination

ABSTRACT The ocean's vast resources drive exploration interest, yet its complex and dynamic nature demands advanced underwater robotic systems. This paper presents an autonomous docking system utilizing a bionic vector‐propelled robotic fish. The robotic fish, driven by a wire‐actuated vector‐propulsion tail, achieves omnidirectional movement. Inspired by biological swarm coordination, a bidirectional information exchange protocol is developed for the docking process. To enhance autonomy, we design a hierarchical closed‐loop control system integrating a central pattern generator (CPG), visual recognition, and serial controllers. This enables the robotic fish to complete release, search, task execution, and docking. Experimental validation demonstrates the system's effectiveness in achieving stable docking and coordinated motion. The results confirm the feasibility and reliability of the proposed methodology, offering a novel solution for underwater docking in dynamic environments.

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Publication Details

Journal
Journal of Field Robotics
Published
2025-09-01
DOI
https://doi.org/10.1002/rob.70056
Citations
1
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
1.15
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article

An Efficient Docking System for a Novel Vector‐Propelled Robotic Fish Based on Implicit Coordination

Yong Zhong, Jianjian Fei, Qiao Hu, Xing Xie et al.
1 citations
Journal of Field Robotics
Underwater Vehicles and Communication Systems
1.15
article

An Efficient Docking System for a Novel Vector‐Propelled Robotic Fish Based on Implicit Coordination

Yong Zhong, Jianjian Fei, Qiao Hu, Xing Xie, Yuhao Liang
article en
1 citations

Abstract

ABSTRACT The ocean's vast resources drive exploration interest, yet its complex and dynamic nature demands advanced underwater robotic systems. This paper presents an autonomous docking system utilizing a bionic vector‐propelled robotic fish. The robotic fish, driven by a wire‐actuated vector‐propulsion tail, achieves omnidirectional movement. Inspired by biological swarm coordination, a bidirectional information exchange protocol is developed for the docking process. To enhance autonomy, we design a hierarchical closed‐loop control system integrating a central pattern generator (CPG), visual recognition, and serial controllers. This enables the robotic fish to complete release, search, task execution, and docking. Experimental validation demonstrates the system's effectiveness in achieving stable docking and coordinated motion. The results confirm the feasibility and reliability of the proposed methodology, offering a novel solution for underwater docking in dynamic environments.

Journal of Field RoboticsVol. 43(2)
Wuhu Hit Robot Technology Research Institute (CN), Xi'an Jiaotong University (CN), South China University of Technology (CN)
Openalex Percentile: Top 19%
Underwater Vehicles and Communication Systems
1.15
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