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Jingchen Wang, Qihe Shan, Tieshan Li, Geyang Xiao and Qi Xu
This paper studied the collision avoidance issue in the formation-containment tracking control of multi-USVs (unmanned surface vehicles) with constrained velocity and driving force. Specifically, based on a dual-layer control framework, it designed a mul...
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Hongguang Lyu, Zengrui Hao, Jiawei Li, Guang Li, Xiaofeng Sun, Guoqing Zhang, Yong Yin, Yanjie Zhao and Lunping Zhang
Autonomous decision-making for ships to avoid collision is core to the autonomous navigation of intelligent ships. In recent years, related research has shown explosive growth. However, owing to the complex constraints of navigation environments, the Con...
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Lin Shan, Huan-Bang Li, Ryu Miura, Takashi Matsuda and Takeshi Matsumura
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Yuyang Huang, Wei Li, Jun Ning and Zhihui Li
This paper investigates the cooperative formation trajectory tracking problem for heterogeneous unmanned aerial vehicle (UAV) and multiple unmanned surface vessel (USV) systems with collision avoidance performance. Firstly, a formation control protocol b...
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Liangang Yin, Zheping Yan and Yunzhi Hou
The unmanned underwater vehicle (UUV) group composed of UUVs carrying different kinds of detection equipment is powerful for underwater target searching and detection. In this paper, a formation transformation method, used while the mission of the UUV gr...
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Bo Xiang and Yongqiang Zhuo
Effective and timely collision avoidance decision support is essential for super-large vessels navigating in port waters. To guarantee the navigational safety of super-large vessels, this work proposes a collision avoidance decision support method based ...
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Kai Cao, Yangquan Chen, Song Gao, Haixin Dang and Di An
Multi-robot coverage systems are widely used in operations such as environmental monitoring, disaster rescue, and pollution prevention. This study considers inherent positioning errors in positioning systems and ground mobile robots with limited communic...
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Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang and Huili Shi
As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world. Existing research on collision-avoidance behavior focuses more on collision r...
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Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
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Fei Lai and Xiaoyu Wang
A pre-emptive braking control method is proposed to improve the stability of autonomous vehicles during emergency collision avoidance, aiming to imitate the realistic human driving experience. A linear model predictive control is used to derive the front...
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