Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization

Fuente: arXiv
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Autori principali: Xu, Jisheng, Lin, Ding, Fong, Pangkit, Fang, Chongrong, Duan, Xiaoming, He, Jianping
Natura: Preprint
Pubblicazione: 2025
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author Xu, Jisheng
Lin, Ding
Fong, Pangkit
Fang, Chongrong
Duan, Xiaoming
He, Jianping
author_facet Xu, Jisheng
Lin, Ding
Fong, Pangkit
Fang, Chongrong
Duan, Xiaoming
He, Jianping
contents This paper introduces an underwater multi-robot platform, named Aucamp, characterized by cost-effective monocular-camera-based sensing, distributed protocol and robust orientation control for localization. We utilize the clarity feature to measure the distance, present the monocular imaging model, and estimate the position of the target object. We achieve global positioning in our platform by designing a distributed update protocol. The distributed algorithm enables the perception process to simultaneously cover a broader range, and greatly improves the accuracy and robustness of the positioning. Moreover, the explicit dynamics model of the robot in our platform is obtained, based on which, we propose a robust orientation control framework. The control system ensures that the platform maintains a balanced posture for each robot, thereby ensuring the stability of the localization system. The platform can swiftly recover from an forced unstable state to a stable horizontal posture. Additionally, we conduct extensive experiments and application scenarios to evaluate the performance of our platform. The proposed new platform may provide support for extensive marine exploration by underwater sensor networks.
format Preprint
id arxiv_https___arxiv_org_abs_2506_09876
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization
Xu, Jisheng
Lin, Ding
Fong, Pangkit
Fang, Chongrong
Duan, Xiaoming
He, Jianping
Robotics
Systems and Control
This paper introduces an underwater multi-robot platform, named Aucamp, characterized by cost-effective monocular-camera-based sensing, distributed protocol and robust orientation control for localization. We utilize the clarity feature to measure the distance, present the monocular imaging model, and estimate the position of the target object. We achieve global positioning in our platform by designing a distributed update protocol. The distributed algorithm enables the perception process to simultaneously cover a broader range, and greatly improves the accuracy and robustness of the positioning. Moreover, the explicit dynamics model of the robot in our platform is obtained, based on which, we propose a robust orientation control framework. The control system ensures that the platform maintains a balanced posture for each robot, thereby ensuring the stability of the localization system. The platform can swiftly recover from an forced unstable state to a stable horizontal posture. Additionally, we conduct extensive experiments and application scenarios to evaluate the performance of our platform. The proposed new platform may provide support for extensive marine exploration by underwater sensor networks.
title Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization
topic Robotics
Systems and Control
url https://arxiv.org/abs/2506.09876