journal article·2024-08Open access

Soft Electromagnetic Artificial Muscles Using High‐Density Liquid‐Metal Solenoid Coils and Bistable Stretchable Magnetic Housings

Gyowook Shin, YeongJin Choi, ByungJun Jeon, Inrak Choi, Sukho Song, Yong‐Lae Park

Advanced Functional Materials· Volume 34· Issue 31

Abstract

Abstract Soft electromagnetic artificial muscles (SEAMs) that use electric currents are reported as their power sources. The proposed actuator consists of fully soft components: microfluidic coils, stretchable magnets, ferromagnetic silicone, and stretchable housings. The soft coils are fabricated by directly printing room‐temperature liquid metal on a stretchable substrate, enabling the generation of high‐density electromagnetic fields. Based on design optimization through modeling and simulation, the proposed actuators have a characteristic of bistability following the relationships of the forces acting on the components. Depending on the design configurations, the proposed actuators generate contraction and expansion motions as well as vibrations in a bidirectional manner, enabled by electromagnetic actuation. The main advantages of the proposed actuators are fully compliant structures, compact form factors, and short response times, which have not been observed in existing polymer‐based artificial muscles. Another advantage is the self‐detection of the actuation states by measuring the inductance change in the coils. Last, the modular design fully packaged with a coil and magnets in a soft housing makes it possible to easily resize and reconfigure the robotic systems with multiple actuator modules for different applications. Examples of applications demonstrated are a modular crawling robot, energy‐efficient grippers, a multi‐degrees of freedom (DOF) soft manipulator, and a high‐frequency swimming robot.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Samsung Research and Development Seoul 06765 South Korea

Department of Mechanical Engineering Institute of Advanced Machines and Design Institute of Engineering Research Seoul National University Seoul 08826 South Korea

Intuitive Surgical, Inc. CA 94086 Sunnyvale USA

Soft Robotics Research Center Seoul National University Seoul 08826 South Korea

Laboratory of Sustainability Robotics Swiss Federal Laboratories for Materials Science and Technology (EMPA) Überlandstrasse 129 Dübendorf Zürich 8600 Switzerland

Funding

Samsung Science and Technology Foundation

References (80)

Show source-provided references
1. 10.1002/aisy.20200012810.1002/aisy.202000128 ↗
2. 10.1088/1748-3182/9/1/01600710.1088/1748-3182/9/1/016007 ↗
3. 10.1109/JSEN.2012.220079010.1109/JSEN.2012.2200790 ↗
4. N. G.Tsagarakis M.Laffranchi B.Vanderborght D. G.Caldwell IEEE Int. Conf. Robotics and Automation IEEE Kobe Japan2009 p.4356.
5. 10.1109/LRA.2018.285097110.1109/LRA.2018.2850971 ↗
6. 10.1002/adfm.20130367610.1002/adfm.201303676 ↗
7. 10.1109/MRA.2016.258801810.1109/MRA.2016.2588018 ↗
8. 10.1089/soro.2014.000810.1089/soro.2014.0008 ↗
9. 10.1002/adma.20130317510.1002/adma.201303175 ↗
10. 10.1088/1361-665X/aa549610.1088/1361-665X/aa5496 ↗
11. 10.1109/37.83363810.1109/37.833638 ↗
12. 10.1016/j.mechatronics.2010.03.00110.1016/j.mechatronics.2010.03.001 ↗
13. 10.1126/scirobotics.aan426810.1126/scirobotics.aan4268 ↗
14. 10.1109/TMECH.2011.216341510.1109/TMECH.2011.2163415 ↗
15. 10.3923/jas.2011.1749.175510.3923/jas.2011.1749.1755 ↗
16. 10.1016/j.robot.2014.09.02610.1016/j.robot.2014.09.026 ↗
17. 10.1002/admt.20180054010.1002/admt.201800540 ↗
18. 10.1088/0964-1726/24/12/12500310.1088/0964-1726/24/12/125003 ↗
19. 10.1088/0964-1726/24/12/12503310.1088/0964-1726/24/12/125033 ↗
20. 10.1016/j.sna.2005.05.00410.1016/j.sna.2005.05.004 ↗
21. 10.1016/j.matdes.2013.11.08410.1016/j.matdes.2013.11.084 ↗
22. 10.1007/s00707-015-1433-010.1007/s00707-015-1433-0 ↗
23. 10.1108/0143991071074960910.1108/01439910710749609 ↗
24. 10.1016/j.snb.2018.01.14510.1016/j.snb.2018.01.145 ↗
25. 10.1088/1361-665X/ab675b10.1088/1361-665X/ab675b ↗
26. Rossiter J. · EAPAD · 2009 · 7287 · 7287H
27. 10.1088/1361-665X/ab3a7710.1088/1361-665X/ab3a77 ↗
28. 10.1088/1748-3190/12/1/01100310.1088/1748-3190/12/1/011003 ↗
29. 10.1063/1.298164210.1063/1.2981642 ↗
30. 10.3390/app1002064010.3390/app10020640 ↗
31. 10.1002/adfm.20180635110.1002/adfm.201806351 ↗
32. 10.1016/j.jiec.2021.01.02110.1016/j.jiec.2021.01.021 ↗
33. 10.1002/adfm.20190850810.1002/adfm.201908508 ↗
34. 10.1088/1361-665X/aaefd310.1088/1361-665X/aaefd3 ↗
35. 10.1088/0964-1726/18/8/08500210.1088/0964-1726/18/8/085002 ↗
36. 10.1016/j.sna.2011.02.03410.1016/j.sna.2011.02.034 ↗
37. 10.1007/s12541-012-0020-810.1007/s12541-012-0020-8 ↗
38. 10.1186/s40638-017-0057-310.1186/s40638-017-0057-3 ↗
39. 10.1089/soro.2016.000910.1089/soro.2016.0009 ↗
40. 10.1002/adfm.20180024410.1002/adfm.201800244 ↗
41. 10.1115/1.405004110.1115/1.4050041 ↗
42. 10.1126/sciadv.abc025110.1126/sciadv.abc0251 ↗
43. 10.3390/en1314357210.3390/en13143572 ↗
44. 10.1038/srep1169510.1038/srep11695 ↗
45. 10.3390/mi1102013310.3390/mi11020133 ↗
46. 10.1007/s11664-014-3366-010.1007/s11664-014-3366-0 ↗
47. Zhang L. · Micromachines · 2020 · 11 · 2
48. 10.1088/0960-1317/18/9/09501810.1088/0960-1317/18/9/095018 ↗
49. 10.1146/annurev-matsci-080819-12540310.1146/annurev-matsci-080819-125403 ↗
50. 10.1088/0964-1726/23/8/08503610.1088/0964-1726/23/8/085036 ↗
51. 10.1088/0964-1726/22/5/05502310.1088/0964-1726/22/5/055023 ↗
52. 10.1002/adfm.20180299910.1002/adfm.201802999 ↗
53. 10.1088/0960-1317/6/1/01710.1088/0960-1317/6/1/017 ↗
54. 10.1088/1361-6439/ab6dbc10.1088/1361-6439/ab6dbc ↗
55. 10.1109/LRA.2022.315231010.1109/LRA.2022.3152310 ↗
56. 10.1088/1361-6404/38/2/02520210.1088/1361-6404/38/2/025202 ↗
57. 10.1002/adsr.20220000810.1002/adsr.202200008 ↗
58. 10.1038/s41467-021-27066-110.1038/s41467-021-27066-1 ↗
59. 10.1016/j.eng.2022.04.00910.1016/j.eng.2022.04.009 ↗
60. 10.1002/adma.20220381410.1002/adma.202203814 ↗
61. 10.1002/admt.20200007010.1002/admt.202000070 ↗
62. 10.1002/admt.20180037910.1002/admt.201800379 ↗
63. 10.1103/PhysRevApplied.10.01403010.1103/PhysRevApplied.10.014030 ↗
64. 10.1126/scirobotics.aar798610.1126/scirobotics.aar7986 ↗
65. 10.1016/S1672-6529(09)60184-010.1016/S1672-6529(09)60184-0 ↗
66. 10.1590/S1678-5878201100030000810.1590/S1678-58782011000300008 ↗
67. 10.1016/j.sna.2018.10.02610.1016/j.sna.2018.10.026 ↗
68. 10.1016/j.cej.2020.12828810.1016/j.cej.2020.128288 ↗
69. 10.1073/pnas.161637711410.1073/pnas.1616377114 ↗
70. 10.1039/C9MH02066G10.1039/C9MH02066G ↗
71. 10.1063/1.175668010.1063/1.1756680 ↗
72. 10.1002/advs.20220718310.1002/advs.202207183 ↗
73. 10.1002/adma.20120392110.1002/adma.201203921 ↗
74. 10.1021/acsami.8b1906910.1021/acsami.8b19069 ↗
75. 10.1119/1.514552810.1119/1.5145528 ↗
76. 10.1002/aisy.20200018710.1002/aisy.202000187 ↗
77. 10.1002/smll.20190384110.1002/smll.201903841 ↗
78. 10.3390/mi905021810.3390/mi9050218 ↗
79. 10.3390/mi1102020010.3390/mi11020200 ↗
80. 10.1002/aelm.20170043410.1002/aelm.201700434 ↗