IEEE Robotics & Automation Magazine - December 2022 - 65

with limited payload and also helps provide insights into largescale
underwater localization.
Acknowledgment
This work was supported in part by the National Natural Science
Foundation of China under Grant 61973007 and in part
by the Southern Marine Science and Engineering Guangdong
Laboratory (Guangzhou) under Grant K19313901. The corresponding
author is Chen Wang. This article has supplementary
downloadable material available at https://doi.org/10.1109/
MRA.2022.3202432, provided by the authors.
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Junzheng Zheng, State Key Laboratory for Turbulence and
Complex Systems, Intelligent Biomimetic Design Lab, College
of Engineering, Peking University, Beijing 100871 China.
E-mail: zhengjunzheng@pku.edu.cn.
Jingxian Wang, Center for Robotics and Biosystems, Northwestern
University, IL 60208 USA. E-mail: jingxianwang2026@
u.northwestern.edu.
Xin Guo, State Key Laboratory for Turbulence and Complex
Systems, Intelligent Biomimetic Design Lab, College of Engineering,
Peking University, Beijing 100871 China. E-mail:
guoxin@stu.pku.edu.cn.
Chayutpon Huntrakul, State Key Laboratory for Turbulence
and Complex Systems, Intelligent Biomimetic Design Lab,
College of Engineering, Peking University, Beijing 100871
China. E-mail: chayutpon@pku.edu.cn.
Chen Wang, National Engineering Research Center of Software
Engineering, Peking University, Beijing 100871 China;
State Key Laboratory for Turbulence and Complex Systems,
Intelligent Biomimetic Design Lab, College of Engineering,
Peking University, Beijing 100871 China. E-mail: wangchen@
pku.edu.cn.
Guangming Xie, State Key Laboratory for Turbulence and Complex
Systems, Intelligent Biomimetic Design Lab, College of
Engineering, Peking University, Beijing 100871 China; Southern
Marine Science and Engineering Guangdong Laboratory
(Guangzhou), Guangzhou 511458 China. E-mail: xiegming@
pku.edu.cn.
DECEMBER 2022 * IEEE ROBOTICS & AUTOMATION MAGAZINE *
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http://dx.doi.org/10.1109/ICRA.2012.6224956 https://www.doi.org/10.1109/mra.2022.3202432 http://dx.doi.org/10.1109/MSP.2014.2330626 https://www.doi.org/10.1109/mra.2022.3202432 http://dx.doi.org/10.1109/MSP.2014.2330626 http://dx.doi.org/10.1109/TAC.2013.2293451 http://dx.doi.org/10.1016/j.robot.2019.103382 http://dx.doi.org/10.1159/000079745 http://dx.doi.org/10.1109/TRO.2021.3098239 http://dx.doi.org/10.1109/TRO.2008.2004888 http://dx.doi.org/10.1088/1748-3190/12/2/025004 http://dx.doi.org/10.1177/0278364908090538 http://dx.doi.org/10.1177/0278364915569813 http://dx.doi.org/10.1177/0278364917709942 http://dx.doi.org/10.1177/0278364912470181 http://dx.doi.org/10.1088/1748-3182/9/1/016012 http://dx.doi.org/10.1177/0278364915572071 http://dx.doi.org/10.1109/LRA.2022.3145094

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