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A Vision-Based Underwater Formation Control System Design and Implementation on Small Underwater Spherical Robots

Pengxiao Bao, Liwei Shi, Zhan Chen, Shuxiang Guo

Year
2022
Citations
3
Access
Open access

Abstract

The ocean is a significant strategic resource, and the insufficient development and use of the ocean, as well as the increase in attention to the ocean, have led to the development of underwater robot technology. The need for in-depth marine exploration and the limitations of one underwater robot has sparked research on the underwater multi-robot system. In the underwater environment, weak communication is caused by the shielding effect of the seawater medium, which makes multi-robot systems difficult to form. Hence, we combine the robot’s vision system with the leader-follower structure to form a vision-based underwater formation method, in which the visual solution serves as the control system’s feedback. By using three small underwater robot platforms, the proposed method is proved to be effective and practicable through underwater formation experiments. Furthermore, the coordination period and error of the control system are analyzed.

Keywords

UnderwaterRobotComputer scienceControl (management)Machine visionArtificial intelligenceMarine engineeringEngineeringGeologyOceanography

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