@inproceedings{bb75337a684f4545892f2ad7d98c6a6d,
title = "Parameter Optimization of CPG Network Based on PSO for Manta Ray Robot",
abstract = "The kinematic analysis of the real manta ray{\textquoteright}s swimming posture is carried out in this paper to address the problem of flapping posture in the forward swimming motion state of the imitation manta ray robot. According to the swimming attitude of manta rays, the traditional central pattern generator (CPG) phase oscillator model is improved. Taking similarity as the optimization objective, particle swarm optimization (PSO) algorithm is used to optimize the parameters of CPG network, which makes the forward attitude of manta ray robot more consistent with the real manta rays, in order to achieve better bionic effect. Finally, the effectiveness of the optimization scheme based on particle swarm optimization algorithm is verified by experiments.",
keywords = "CPG, Manta ray robot, PSO, Similarity evaluation",
author = "Yonghui Cao and Shumin Ma and Yu Xie and Yiwei Hao and Daili Zhang and Yue He and Yong Cao",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Autonomous Unmanned Systems, ICAUS 2021 ; Conference date: 24-09-2021 Through 26-09-2021",
year = "2022",
doi = "10.1007/978-981-16-9492-9_300",
language = "英语",
isbn = "9789811694912",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3062--3072",
editor = "Meiping Wu and Yifeng Niu and Mancang Gu and Jin Cheng",
booktitle = "Proceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021",
}