Bio-inspired robotic fish enabled motion tomography-Reference-Cited by-同舟云学术

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Bio-inspired robotic fish enabled motion tomography

Published:2023-05-19 Issue:3 Volume:7 Page:474-484
ISSN:2366-5971
Container-title:International Journal of Intelligent Robotics and Applications
language:en
Short-container-title:Int J Intell Robot Appl

Author:

Zuo Wenyu,Zhang Fumin,Chen Zheng^ORCID

Funder

Texas Commission on Environmental Quality

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s41315-023-00284-0.pdf

Reference21 articles.

1. Bayat, M., Crasta, N., Aguiar, A.P., Pascoal, A.M.: Range-based underwater vehicle localization in the presence of unknown ocean currents: theory and experiments. IEEE Trans. Control Syst. Technol. 24(1), 122–139 (2015)

2. Chang, D., Wu, W., Edwards, C.R., Zhang, F.: Motion tomography: mapping flow fields using autonomous underwater vehicles. Int. J. Robot. Res. 36(3), 320–336 (2017)

3. Chang, D., Zhang, F., Sun, J.: Distributed motion tomography for reconstruction of flow fields. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 8048–8054. IEEE (2019)

4. Chen, Z., Hou, P., Ye, Z.: Robotic fish propelled by a servo motor and ionic polymer-metal composite hybrid tail. J. Dyn. Syst. Measurement Control 141(7), 071001 (2019)

5. Du, R., Li, Z., Youcef-Toumi, K., Alvarado, P.V.: y: Robot Fish: Bio-inspired Fishlike Underwater Robots. Springer, New York (2015)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Focused section on robotics and autonomy for sustainability;International Journal of Intelligent Robotics and Applications;2023-08-07

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