Soft Underwater Swimming Robots Based on Artificial Muscle
Source abstract
Abstract
Abstract With the increasing requirements of underwater missions and the rapid development of soft robotics technologies, soft underwater swimming robots have become a hot topic of research due to their low noise, high flexibility, and high environmental adaptability. In the past 10 years, research into soft underwater robots based on artificial muscle actuation has made considerable progress. Herein, a comprehensive survey on recent advances in soft underwater swimming robots based on different actuation methods is reviewed systematically, including pressure actuation, intelligent material actuation, and biomaterial actuation. First, for each type of actuation, the actuating principle, structural design, and swimming performance of soft underwater robots are introduced in detail. Then, according to the different swimming modes of underwater organisms, the aforementioned soft underwater robots are classified and compared. The results show that for different swimming tasks and application scenarios, the robot needs to realize the optimal design by reasonably selecting the actuating method and the swimming mode. This review summarizes the advanced information and critical technology in designing high‐performance soft underwater robots in the aspect of structural design, actuating methods, and swimming modes and offers an insightful outlook for the future development of soft robots.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Underwater Vehicles and Communication Systems · Soft Robotics and Applications · Micro and Nano Robotics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China
Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110169 China
University of Chinese Academy of Sciences Beijing 100049 China
School of Automation and Electrical Engineering Shenyang Ligong University Shenyang Liaoning 110159 China
Funding
National Natural Science Foundation of China · China Postdoctoral Science Foundation
References (100+)
Show source-provided references
1. 10.1063/5.007685710.1063/5.0076857 ↗
2. 10.1163/15685530232053597110.1163/156855302320535971 ↗
3. Nickols F. · 1997
4. 10.1111/j.1095-8649.1988.tb05382.x10.1111/j.1095-8649.1988.tb05382.x ↗
5. 10.1242/jeb.0152410.1242/jeb.01524 ↗
6. 10.1086/66646310.1086/666463 ↗
7. 10.1017/S002211206000111010.1017/S0022112060001110 ↗
8. 10.1098/rspb.1971.008510.1098/rspb.1971.0085 ↗
9. 10.1098/rspb.1972.006610.1098/rspb.1972.0066 ↗
10. 10.1242/jeb.06271110.1242/jeb.062711 ↗
11. 10.1242/jeb.15221510.1242/jeb.152215 ↗
12. 10.1242/jeb.19089210.1242/jeb.190892 ↗
13. 10.1242/jeb.205.21.327110.1242/jeb.205.21.3271 ↗
14. 10.1098/rspb.2003.260110.1098/rspb.2003.2601 ↗
15. 10.1371/journal.pone.017474010.1371/journal.pone.0174740 ↗
16. 10.1016/S1001-6058(11)60243-610.1016/S1001-6058(11)60243-6 ↗
17. 10.3390/app601001510.3390/app6010015 ↗
18. 10.1063/1.504135810.1063/1.5041358 ↗
19. 10.1242/jeb.01564410.1242/jeb.015644 ↗
20. 10.1242/jeb.02500710.1242/jeb.025007 ↗
21. 10.1080/01691864.2017.139234410.1080/01691864.2017.1392344 ↗
22. Li Z. · 2012
23. 10.1016/j.oceaneng.2017.11.01210.1016/j.oceaneng.2017.11.012 ↗
24. 10.1088/1748-3190/11/3/03100110.1088/1748-3190/11/3/031001 ↗
25. 10.1109/TIE.2019.294408210.1109/TIE.2019.2944082 ↗
26. 10.1109/JSYST.2015.245817310.1109/JSYST.2015.2458173 ↗
27. 10.1109/TMECH.2016.257272010.1109/TMECH.2016.2572720 ↗
28. 10.1126/scirobotics.aax461510.1126/scirobotics.aax4615 ↗
29. Li T. · Chin. J. Theor. Appl. Mech. · 2016 · 48 · 756
30. 10.1007/s42235-019-0111-710.1007/s42235-019-0111-7 ↗
31. 10.1088/1361-665X/ab3a7710.1088/1361-665X/ab3a77 ↗
32. Yu J. Z. · Sci. China: Technol. Sci. · 2017 · 60
33. 10.1007/s10846-021-01379-110.1007/s10846-021-01379-1 ↗
34. 10.3390/jmse1006073510.3390/jmse10060735 ↗
35. Yang G. · Zhongguo Jixie Gongcheng · 2003 · 14 · 1347
36. 10.1089/soro.2017.001710.1089/soro.2017.0017 ↗
37. 10.1016/j.apor.2021.10255110.1016/j.apor.2021.102551 ↗
38. 10.1007/s12206-017-0934-210.1007/s12206-017-0934-2 ↗
39. Pelrine R. · 2002
40. 10.1063/1.149588810.1063/1.1495888 ↗
41. 10.1680/jemmr.15.0002610.1680/jemmr.15.00026 ↗
42. 10.1039/D0TB02524K10.1039/D0TB02524K ↗
43. 10.1089/soro.2018.001710.1089/soro.2018.0017 ↗
44. Wang Y. · J. Mech. Eng. · 2021 · 57 · 186
45. 10.1038/micronano.2016.4510.1038/micronano.2016.45 ↗
46. 10.1089/soro.2014.002210.1089/soro.2014.0022 ↗
47. R. H.Gaylord US2844126A 1958.
48. Pillsbury T. E. · 2016
49. 10.1089/soro.2019.007910.1089/soro.2019.0079 ↗
50. 10.1088/0964-1726/24/10/10503110.1088/0964-1726/24/10/105031 ↗
51. 10.1126/scirobotics.aay349310.1126/scirobotics.aay3493 ↗
52. 10.1109/TRO.2015.240945210.1109/TRO.2015.2409452 ↗
53. 10.1177/027836491559296110.1177/0278364915592961 ↗
54. 10.1016/j.robot.2014.08.01410.1016/j.robot.2014.08.014 ↗
55. 10.1109/LRA.2017.267854510.1109/LRA.2017.2678545 ↗
56. 10.1123/jab.21.2.18910.1123/jab.21.2.189 ↗
57. Wehner M. · 2013
58. 10.1089/soro.2016.003010.1089/soro.2016.0030 ↗
59. 10.1016/j.robot.2018.02.02010.1016/j.robot.2018.02.020 ↗
60. 10.1089/soro.2013.000910.1089/soro.2013.0009 ↗
61. 10.1007/s42235-020-0021-810.1007/s42235-020-0021-8 ↗
62. 10.1089/soro.2020.009310.1089/soro.2020.0093 ↗
63. 10.1089/soro.2016.005310.1089/soro.2016.0053 ↗
64. 10.3389/frobt.2021.79172210.3389/frobt.2021.791722 ↗
65. 10.1016/j.ymssp.2020.10731410.1016/j.ymssp.2020.107314 ↗
66. 10.1126/scirobotics.aar344910.1126/scirobotics.aar3449 ↗
67. 10.1088/1748-3190/aadcb310.1088/1748-3190/aadcb3 ↗
68. 10.1038/nature1910010.1038/nature19100 ↗
69. 10.1038/s41586-019-1313-110.1038/s41586-019-1313-1 ↗
70. 10.1126/scirobotics.aao561910.1126/scirobotics.aao5619 ↗
71. 10.1126/scirobotics.aax733010.1126/scirobotics.aax7330 ↗
72. Rossi C. · 2010
73. 10.1088/1748-3182/6/4/04500510.1088/1748-3182/6/4/045005 ↗
74. 10.1088/1748-3190/aad0ae10.1088/1748-3190/aad0ae ↗
75. 10.14429/dsj.71.1577710.14429/dsj.71.15777 ↗
76. 10.1016/S1672-6529(11)60111-X10.1016/S1672-6529(11)60111-X ↗
77. 10.1109/ACCESS.2019.295354610.1109/ACCESS.2019.2953546 ↗
78. 10.1088/1748-3182/6/3/03600410.1088/1748-3182/6/3/036004 ↗
79. 10.1016/S1672-6529(14)60054-810.1016/S1672-6529(14)60054-8 ↗
80. 10.1088/1748-3190/11/3/03601010.1088/1748-3190/11/3/036010 ↗
81. 10.1073/pnas.180038611510.1073/pnas.1800386115 ↗
82. 10.1016/j.ijmecsci.2021.10672510.1016/j.ijmecsci.2021.106725 ↗
83. 10.1016/S0924-4247(97)01657-910.1016/S0924-4247(97)01657-9 ↗
84. 10.1109/LRA.2016.252249810.1109/LRA.2016.2522498 ↗
85. 10.1002/adem.20190113010.1002/adem.201901130 ↗
86. Shintake J. · 2016
87. 10.1089/soro.2017.006210.1089/soro.2017.0062 ↗
88. Tang Y. C. · 2017
89. 10.1088/1361-665X/ab0a7a10.1088/1361-665X/ab0a7a ↗
90. 10.1126/scirobotics.aat189310.1126/scirobotics.aat1893 ↗
91. 10.1126/sciadv.160204510.1126/sciadv.1602045 ↗
92. 10.1115/1.403714710.1115/1.4037147 ↗
93. 10.1038/s41598-018-32757-910.1038/s41598-018-32757-9 ↗
94. 10.1088/1361-665X/aaed4f10.1088/1361-665X/aaed4f ↗
95. Berlinger F. · 2018
96. 10.1038/s41586-020-03153-z10.1038/s41586-020-03153-z ↗
97. Chen Z. · 2007
98. 10.1109/TMECH.2009.202781210.1109/TMECH.2009.2027812 ↗
99. 10.1088/0964-1726/22/7/07503510.1088/0964-1726/22/7/075035 ↗
100. 10.1016/j.sna.2011.02.03410.1016/j.sna.2011.02.034 ↗