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Abhishek Phadke, F. Antonio Medrano, Tianxing Chu, Chandra N. Sekharan and Michael J. Starek
UAV swarms have multiple real-world applications but operate in a dynamic environment where disruptions can impede performance or stop mission progress. Ideally, a UAV swarm should be resilient to disruptions to maintain the desired performance and produ...
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Jiacheng Li, Hanlin Sheng, Jie Zhang and Haibo Zhang
In the coverage path planning (CPP) problem of an agricultural spraying UAV, a margin reduction algorithm was designed first to address special situations such as ditches and channels within the operational terrain. Regarding the particularity of a conca...
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Bowen Xing, Xiao Wang, Liu Yang, Zhenchong Liu and Qingyun Wu
A deep reinforcement learning method to achieve complete coverage path planning for an unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the workspace required for complete coverage. Then, for the full-coverage path planni...
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Yanzhuo Men, Yingying Liu, Yufei Ma, Ka Po Wong, Jin Yeu Tsou and Yuanzhi Zhang
Satellites with low-to-medium spatial resolution face challenges in monitoring the early and receding stages of green tides, while those with high spatial resolution tend to reduce the monitoring frequency of such phenomena. This study aimed to observe t...
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Fethi Candan, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf and Lyudmila Mihaylova
This study presents the design and real-time applications of an Interval Type-2 Fuzzy PID (IT2-FPID) control system on an unmanned aerial vehicle (UAV) with a flexible cable-connected payload in comparison to the PID and Type-1 Fuzzy PID (T1-FPID) counte...
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