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Liang Zhang, Junmin Mou, Pengfei Chen and Mengxia Li
In this research, a hybrid approach for path planning of autonomous ships that generates both global and local paths, respectively, is proposed. The global path is obtained via an improved artificial potential field (APF) method, which makes up for the s...
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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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Guoqiang Hao, Qiang Lv, Zhen Huang, Huanlong Zhao and Wei Chen
The obstacle avoidance system of a drone affects the quality of its flight path. The artificial potential field method can react quickly when facing obstacles; however, the traditional artificial potential field method lacks consideration of the position...
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Qingni Yuan, Junhui Yi, Ruitong Sun and Huan Bai
To improve the path planning efficiency of a robotic arm in three-dimensional space and improve the obstacle avoidance ability, this paper proposes an improved artificial potential field and rapid expansion random tree (APF-RRT) hybrid algorithm for the ...
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Zhongxian Zhu, Hongguang Lyu, Jundong Zhang and Yong Yin
A novel collision avoidance (CA) algorithm was proposed based on the modified artificial potential field (APF) method, to construct a practical ship automatic CA system. Considering the constraints of both the International Regulations for Preventing Col...
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Jia Song, Xiaowei Xu, Xindi Tong and Kai Zhao
Time cooperation guidance is a key technology which can greatly increase the success rate of flight missions. However, it is difficult to satisfy all the strict constraints when designing the guidance system for multiple hypersonic vehicles. To solve the...
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Fuyang Tian, Xinwei Wang, Sufang Yu, Ruixue Wang, Zhanhua Song, Yinfa Yan, Fade Li, Zhonghua Wang and Zhenwei Yu
Existing push robots mainly use magnetic induction technology. These devices are susceptible to external electromagnetic interference and have a low degree of intelligence. To make up for the insufficiency of the existing material pushing robots, and at ...
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Siyao Lu, Rui Xu, Zhaoyu Li, Bang Wang and Zhijun Zhao
The International Lunar Research Station, to be established around 2030, will equip lunar rovers with robotic arms as constructors. Construction requires lunar soil and lunar rovers, for which rovers must go toward different waypoints without encounterin...
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Guanqun Liu, Naifeng Wen, Feifei Long and Rubo Zhang
This study introduces a method for formation control and obstacle avoidance for multiple unmanned surface vehicles (USVs) by combining an artificial potential field with the virtual structure method. The approach involves a leader?follower formation stru...
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Zhenyi Zhao, Qiao Hu, Haobo Feng, Xinglong Feng and Wenbin Su
Cooperative hunting is a typical task that reflects the intelligence level of a swarm. For the complex underwater weak information environment with obstacles, a problem description of the multi-autonomous underwater vehicle (AUV) cooperative hunting task...
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Jixiang Zhu, Miao Gao, Anmin Zhang, Yingjun Hu and Xi Zeng
In order to detect multi-ship encounter situations and improve the safety of navigation, this paper proposed a model which was able to mine multi-ship encounter situations from Automatic identification system (AIS) data and analyze the encounter spatial-...
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Bocheng Zhao, Mingying Huo, Ze Yu, Naiming Qi and Jianfeng Wang
In this study, we propose an aerial rendezvous method to facilitate the recovery of unmanned aerial vehicles (UAVs) using carrier aircrafts, which is an important capability for the future use of UAVs. The main contribution of this study is the developme...
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Xiangyu Chen, Miao Gao, Zhen Kang, Jian Zhou, Shuai Chen, Zihao Liao, Haixin Sun and Anmin Zhang
It is essential to promote the intelligence and autonomy of Maritime Autonomous Surface Ships (MASSs). This study proposed an automatic collision-avoidance method based on an improved Artificial Potential Field (APF) with the formation of MASSs (F-MASSs)...
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Wei Li, Jun Zhang, Fang Wang and Hanyun Zhou
The underactuated unmanned surface vessel (USV) has been identified as a promising solution for future maritime transport. However, the challenges of precise trajectory tracking and obstacle avoidance remain unresolved for USVs. To this end, this paper m...
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Cédric Roussel and Klaus Böhm
Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the...
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Yinkang Li, Danyi Li, Wenshan Zhu, Jun Sun, Xiaolong Zhang and Shuang Li
During the on-orbit operation task of the space manipulator, some specific scenarios require strict constraints on both the position and orientation of the end-effector, such as refueling and auxiliary docking. To this end, a novel motion planning approa...
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Weiyan Ren, Dapeng Han and Zhaokui Wang
When a lunar assisted robot helps an astronaut turn over or transports the astronaut from the ground, the trajectory of the robot?s dual arms should be automatically planned according to the unstructured environment on the lunar surface. In this paper, a...
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Zhiyuan Sun, Hanbing Sun, Ping Li and Jin Zou
A self-organizing cooperation strategy for multiple unmanned surface vessels (USVs) to pursue intelligent evaders in the case of a dynamic obstacle vessel is proposed. Firstly, a self-organizing cooperative hunting strategy is proposed to form an Apollon...
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Yusi Zhou, Nailong Wu, Haodong Yuan, Feng Pan, Zhiyong Shan and Chao Wu
In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method is integrated into the partial differential equation...
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Zheping Yan, Anzuo Jiang and Chonglang Lai
In this paper, the formation control problem for a group of unmanned underwater vehicles (UUVs) is investigated considering collision avoidance and environment disturbances. To address the external force effect of the environment, such as waves and curre...
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