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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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Bing Jiang, Kaiyu Qin, Tong Li, Boxian Lin and Mengji Shi
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Bo Liu, Shulei Wang, Qinghua Li, Xinyang Zhao, Yunqing Pan and Changhong Wang
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Boxin Li, Boyang Liu, Dapeng Han and Zhaokui Wang
The safe landing and rapid recovery of the reentry capsules are very important to manned spacecraft missions. A variety of uncertain factors, such as flight control accuracy and wind speed, lead to a low orbit prediction accuracy and a large landing rang...
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Yongzhao Yan, Zhenqian Sun, Yueqi Hou, Boyang Zhang, Ziwei Yuan, Guoxin Zhang, Bo Wang and Xiaoping Ma
Unmanned aerial vehicle (UAV) swarms offer unique advantages for area search and environmental monitoring applications. For practical deployments, determining the optimal number of UAVs required for a given task and defining key performance metrics for t...
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Fayin Chen, Yong Tang, Nannan Li, Tao Wang and Yiwen Hu
This academic paper addresses the challenges associated with trajectory planning for affordable and light-weight Unmanned Aerial Vehicle (UAV) swarms, despite limited computing resources and extensive cooperation requirements. Specifically, an imitation-...
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Lorenz Dingeldein
While the growth of unmanned aerial vehicle (UAV) usage over the next few years is indisputable, cooperative operation strategies for UAV swarms have gained great interest in the research community. Mission capabilities increase while contingencies can b...
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Athanasios Koulianos and Antonios Litke
Today, intelligent drone technology is rapidly expanding, particularly in the defense industry. A swarm of drones can communicate, share data, and make the best decisions on their own. Drone swarms can swiftly and effectively carry out missions like surv...
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Wenfei Wang, Maolong Lv, Le Ru, Bo Lu, Shiguang Hu and Xinlong Chang
Unmanned aerial vehicles (UAVs) can be used in swarms to achieve multiple tasks cooperatively. Multi-UAV and multi-target cooperative task assignments are difficult. To solve the problem of unbalanced, phased, cooperative assignment between UAVs and task...
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Muhammad Baber Sial, Yuwei Zhang, Shaoping Wang, Sara Ali, Xinjiang Wang, Xinyu Yang, Zirui Liao and Zunheng Yang
Most of the recent research on distributed formation control of unmanned aerial vehicle (UAV) swarms is founded on position, distance, and displacement-based approaches; however, a very promising approach, i.e., bearing-based formation control, is still ...
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