Recent Development of Jumping Motions Based on Soft Actuators
Source abstract
Abstract
Abstract Drawing inspiration from the jumping motions of living creatures in nature, jumping robots have emerged as a promising research field over the past few decades due to great application potential in interstellar exploration, military reconnaissance, and life rescue missions. Early reviews mainly focused on jumping robots made of lightweight and rigid materials with mechanical components, concentrating on jumping control and stability. Herein, attention is paid to the jumping mechanisms of soft actuators assembled from various soft smarting materials and powered by different stimulus sources. The challenges and prospects of soft jumping actuators are also discussed. It is hoped that this review will contribute to the further development of soft jumping actuators and broaden their practical applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Materials and Mechanics · Soft Robotics and Applications · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of New Textile Materials and Advanced Processing Technologies School of Textile Science and Engineering Wuhan Textile University Wuhan Hubei 430200 China
State Key Laboratory of Medicinal Chemical Biology Key Laboratory of Functional Polymer Materials Smart Sensing Interdisciplinary Science Center College of Chemistry Nankai University Tianjin 300350 China
Department of Science China Pharmaceutical University Nanjing Jiangsu 211198 China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China · Fundamental Research Funds for the Central Universities
References (100+)
Show source-provided references
1. 10.1002/adma.20160348310.1002/adma.201603483 ↗
2. 10.1002/adma.20160497710.1002/adma.201604977 ↗
3. 10.34133/research.001010.34133/research.0010 ↗
4. 10.1002/aisy.20200018610.1002/aisy.202000186 ↗
5. 10.1002/adfm.20190884210.1002/adfm.201908842 ↗
6. 10.1002/adfm.20180899510.1002/adfm.201808995 ↗
7. 10.1002/adma.20190409310.1002/adma.201904093 ↗
8. 10.1002/aisy.20200018510.1002/aisy.202000185 ↗
9. 10.1002/adma.20160510310.1002/adma.201605103 ↗
10. 10.1002/adma.20130570810.1002/adma.201305708 ↗
11. 10.1002/anie.20150295710.1002/anie.201502957 ↗
12. 10.1002/anie.20130347510.1002/anie.201303475 ↗
13. 10.1002/adma.20160221110.1002/adma.201602211 ↗
14. 10.1002/adom.20200174310.1002/adom.202001743 ↗
15. 10.1002/adma.20130343210.1002/adma.201303432 ↗
16. 10.1021/acsami.7b1790710.1021/acsami.7b17907 ↗
17. 10.1002/adfm.20210137810.1002/adfm.202101378 ↗
18. 10.1002/ange.20150710810.1002/ange.201507108 ↗
19. 10.1021/acsami.0c0795610.1021/acsami.0c07956 ↗
20. 10.1002/aisy.20200008210.1002/aisy.202000082 ↗
21. 10.1038/ncomms1226310.1038/ncomms12263 ↗
22. 10.1002/adfm.20190347110.1002/adfm.201903471 ↗
23. 10.1002/anie.20130861010.1002/anie.201308610 ↗
24. 10.1002/adfm.20200251010.1002/adfm.202002510 ↗
25. 10.1002/adma.20200071310.1002/adma.202000713 ↗
26. 10.1002/adma.20150541710.1002/adma.201505417 ↗
27. 10.1002/adfm.20190904710.1002/adfm.201909047 ↗
28. 10.1021/ma300591a10.1021/ma300591a ↗
29. 10.1002/adem.20200053710.1002/adem.202000537 ↗
30. 10.1002/adma.20160610910.1002/adma.201606109 ↗
31. 10.1002/adfm.20110103910.1002/adfm.201101039 ↗
32. 10.1002/adfm.20200663910.1002/adfm.202006639 ↗
33. 10.1002/aisy.20200022310.1002/aisy.202000223 ↗
34. 10.1126/science.aab012910.1126/science.aab0129 ↗
35. 10.1002/adfm.20200983510.1002/adfm.202009835 ↗
36. 10.1002/adma.20190422410.1002/adma.201904224 ↗
37. 10.1002/aisy.20210006510.1002/aisy.202100065 ↗
38. 10.1002/adfm.20180824110.1002/adfm.201808241 ↗
39. 10.1002/adfm.20200895910.1002/adfm.202008959 ↗
40. 10.1002/adma.20200256410.1002/adma.202002564 ↗
41. 10.1002/acs.278510.1002/acs.2785 ↗
42. 10.1002/advs.20180158410.1002/advs.201801584 ↗
43. 10.1002/anie.20190843710.1002/anie.201908437 ↗
44. 10.1021/acsnano.1c0235610.1021/acsnano.1c02356 ↗
45. 10.1002/adfm.20190950410.1002/adfm.201909504 ↗
46. 10.1002/adfm.20210499110.1002/adfm.202104991 ↗
47. 10.1002/adfm.20130329210.1002/adfm.201303292 ↗
48. 10.1016/j.carbon.2019.04.01410.1016/j.carbon.2019.04.014 ↗
49. 10.1002/adma.20160469110.1002/adma.201604691 ↗
50. 10.1002/adma.20150277710.1002/adma.201502777 ↗
51. 10.1021/acsnano.0c0177910.1021/acsnano.0c01779 ↗
52. 10.1021/acsnano.7b0193710.1021/acsnano.7b01937 ↗
53. 10.1002/anie.20210728110.1002/anie.202107281 ↗
54. 10.1002/adma.20210455810.1002/adma.202104558 ↗
55. 10.1016/j.mattod.2021.04.01410.1016/j.mattod.2021.04.014 ↗
56. 10.1038/s41586-019-1737-710.1038/s41586-019-1737-7 ↗
57. 10.1038/377049a010.1038/377049a0 ↗
58. 10.1038/141923b010.1038/141923b0 ↗
59. 10.1038/265114a010.1038/265114a0 ↗
60. 10.1038/nmat469310.1038/nmat4693 ↗
61. 10.1038/s41467-020-17775-410.1038/s41467-020-17775-4 ↗
62. 10.1038/nature2544310.1038/nature25443 ↗
63. 10.1016/j.robot.2019.10336210.1016/j.robot.2019.103362 ↗
64. 10.1016/j.cois.2020.09.00110.1016/j.cois.2020.09.001 ↗
65. 10.1016/S1672-6529(08)60023-210.1016/S1672-6529(08)60023-2 ↗
66. 10.1007/s42235-020-0099-z10.1007/s42235-020-0099-z ↗
67. 10.1038/214939a010.1038/214939a0 ↗
68. 10.1126/science.aab012910.1126/science.aab0129 ↗
69. 10.1002/adfm.20170438810.1002/adfm.201704388 ↗
70. 10.1038/s41586-019-1388-810.1038/s41586-019-1388-8 ↗
71. 10.1002/admt.20180054010.1002/admt.201800540 ↗
72. 10.1002/aisy.20210025910.1002/aisy.202100259 ↗
73. 10.1126/scirobotics.abn060210.1126/scirobotics.abn0602 ↗
74. 10.1038/355159a010.1038/355159a0 ↗
75. 10.1126/science.aab163710.1126/science.aab1637 ↗
76. 10.1002/admt.20190018510.1002/admt.201900185 ↗
77. 10.1021/acsami.2c0385210.1021/acsami.2c03852 ↗
78. 10.1039/c0sm00092b10.1039/c0sm00092b ↗
79. 10.1021/acsami.8b2209910.1021/acsami.8b22099 ↗
80. 10.1126/scirobotics.abb196710.1126/scirobotics.abb1967 ↗
81. 10.1016/j.nanoen.2022.10784810.1016/j.nanoen.2022.107848 ↗
82. Wang J. · Adv. Funct. Mater. · 2022
83. 10.1109/TRO.2012.219851010.1109/TRO.2012.2198510 ↗
84. 10.1038/s41467-021-27265-w10.1038/s41467-021-27265-w ↗
85. 10.1039/D2TA07339K10.1039/D2TA07339K ↗
86. 10.1002/anie.20221822710.1002/anie.202218227 ↗
87. 10.1177/02783649840030020710.1177/027836498400300207 ↗
88. 10.3182/20080706-5-KR-1001.0183310.3182/20080706-5-KR-1001.01833 ↗
89. Z. J.Ren H. S.Wang W. D.Chen presented at IEEE Int. Conf. on Robotics and Biomimetics (ROBIO) Macao December2017.
90. 10.3389/frobt.2022.84428210.3389/frobt.2022.844282 ↗
91. 10.1109/LRA.2020.298370510.1109/LRA.2020.2983705 ↗
92. 10.1007/s10514-009-9173-410.1007/s10514-009-9173-4 ↗
93. 10.1126/scirobotics.aag204810.1126/scirobotics.aag2048 ↗
94. 10.1109/TMECH.2019.289960610.1109/TMECH.2019.2899606 ↗
95. 10.1021/acsami.8b1640210.1021/acsami.8b16402 ↗
96. 10.1002/adfm.20211114510.1002/adfm.202111145 ↗
97. 10.1177/1045389X1667929610.1177/1045389X16679296 ↗
98. 10.1007/s12555-011-0015-810.1007/s12555-011-0015-8 ↗
99. Ho T. · 2015
100. 10.1126/scirobotics.aau755710.1126/scirobotics.aau7557 ↗