@inproceedings{152c3bb7adae4f3e9fed4fc9f049f1af,
title = "Multi-rotor UAVs path planning method based on improved artificial potential field method",
abstract = "A path planning method based on Biogeography-Based optimized (BBO) artificial potential field algorithm is presented. The parameters of artificial attraction potential field and artificial repulsion potential field is optimized through state feedback and cyclic iteration. The BBO algorithm is used for parameters optimizing. While involving the optimization, the complexity of the design of path planning algorithm is reduced. The simulation results under local minimum situation and target unreachable situation is done. The results illustrate that the BBO based path planning algorithm is able to effectively accomplish the 2D path planning.",
keywords = "Artificial potential field, Biogeography-based optimization, Path planning",
author = "Jia Song and Mingfei Zhao and Yang Liu and Hao Liu and Xiaohong Guo",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8866533",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "8242--8247",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "美国",
}