Clutchable Fabric Actuator for Energy‐Efficient Wearable Robots
Source abstract
Abstract
Abstract Energy‐efficient yet energy‐dense soft actuators are essential for untethered wearable robots. This work reports a fabric‐like actuator, combining shape memory alloy (SMA) springs and electrostatic clutches (ESClutches). The SMA springs provide high force density, with only 18 g of materials generating 40 N of force at actuation strains of over 35%, but requiring 78 W of power to hold that strain. The ESClutches cannot generate motion on their own, but can maintain the force and contraction generated by SMAs consuming only a few mW, thus allowing the SMAs to be turned off. By combining SMAs and ESClutches, a soft wearable fabric actuator is developed with force and stroke suited for an upper‐limb soft exoskeleton, able to lock in any given position using negligible power. The design is scalable: the number and dimensions of the SMA springs and of the ESClutches can be chosen to meet size and actuator performance requirements. This work reports two wearable use cases, where the combined SMAs and ESClutches consume over 70% lower power than SMAs alone.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Prosthetics and Rehabilitation Robotics · Advanced Sensor and Energy Harvesting Materials · Soft Robotics and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Huapeng Zhang, Prof. Herbert Shea, Ecole Polytechnique Fédérale de Lausanne (EPFL) Soft Transducers Lab (LMTS) 71b rue de la Maladière 2002 Neuchâtel Switzerland
References (84)
Show source-provided references
1. 10.1126/science.aav753610.1126/science.aav7536 ↗
2. 10.1038/nature1428810.1038/nature14288 ↗
3. 10.1002/adma.20220851710.1002/adma.202208517 ↗
4. O.Kilic Afsar A.Shtarbanov H.Mor K.Nakagaki J.Forman K.Modrei S. H.Jeong K.Hjort K.Höök H.Ishii InThe 34th Annual ACM Symposium on User Interface Software and Technology Association for Computing Machinery New York NY USA 2021.
5. 10.1002/adma.20230692810.1002/adma.202306928 ↗
6. 10.1089/soro.2019.011310.1089/soro.2019.0113 ↗
7. 10.1109/TMECH.2022.319093010.1109/TMECH.2022.3190930 ↗
8. D.Serrano D.Copaci L.Moreno D.Blanco In2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE Piscataway 2018.
9. 10.1002/adma.20230444210.1002/adma.202304442 ↗
10. 10.1038/s41598-019-45722-x10.1038/s41598-019-45722-x ↗
11. 10.1089/soro.2018.010710.1089/soro.2018.0107 ↗
12. 10.1109/TMECH.2022.319497510.1109/TMECH.2022.3194975 ↗
13. 10.1002/admt.20220046710.1002/admt.202200467 ↗
14. P.‐S.Ku K.Huang C. H.‐L.Kao InProceedings of the 2022 CHI Conference on Human Factors in Computing Systems Association for Computing Machinery New York NY USA 2022.
15. 10.1002/adfm.20220573210.1002/adfm.202205732 ↗
16. 10.1016/j.compositesb.2020.10817010.1016/j.compositesb.2020.108170 ↗
17. 10.1002/adma.20160658010.1002/adma.201606580 ↗
18. 10.1088/0964-1726/21/4/04501610.1088/0964-1726/21/4/045016 ↗
19. 10.1016/j.compscitech.2016.02.00910.1016/j.compscitech.2016.02.009 ↗
20. 10.1088/0964-1726/22/12/12500110.1088/0964-1726/22/12/125001 ↗
21. 10.1002/admt.20190114610.1002/admt.201901146 ↗
22. 10.1002/admt.20190054810.1002/admt.201900548 ↗
23. 10.1089/soro.2023.017110.1089/soro.2023.0171 ↗
24. Jeong J. · Soft Rob. · 2024 · 11 · 0154
25. 10.1109/LRA.2023.329599410.1109/LRA.2023.3295994 ↗
26. 10.1186/s40691-024-00377-910.1186/s40691-024-00377-9 ↗
27. 10.1109/LRA.2024.345590110.1109/LRA.2024.3455901 ↗
28. 10.1109/TMECH.2021.307847210.1109/TMECH.2021.3078472 ↗
29. 10.5194/ms-14-159-202310.5194/ms-14-159-2023 ↗
30. 10.1109/LRA.2023.334175110.1109/LRA.2023.3341751 ↗
31. 10.1007/s00542-023-05499-610.1007/s00542-023-05499-6 ↗
32. 10.1038/s41578-021-00389-710.1038/s41578-021-00389-7 ↗
33. 10.1007/s12541-019-00255-110.1007/s12541-019-00255-1 ↗
34. 10.3390/act1003006310.3390/act10030063 ↗
35. Motzki P. · Proceedings · 2020 · 64 · 20
36. 10.1007/s11340-009-9320-z10.1007/s11340-009-9320-z ↗
37. 10.1088/1361-665X/aa81a310.1088/1361-665X/aa81a3 ↗
38. 10.1088/1361-665X/aac9e110.1088/1361-665X/aac9e1 ↗
39. 10.1002/advs.20230739110.1002/advs.202307391 ↗
40. 10.1038/s41598-022-15682-w10.1038/s41598-022-15682-w ↗
41. 10.3357/AMHP.5560.202010.3357/AMHP.5560.2020 ↗
42. Pettys‐Baker R. · 2018
43. Duvall J. · 2017
44. R.Granberry J.Abel B.Holschuh InProceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery New York NY USA2017.
45. 10.1115/1.403744110.1115/1.4037441 ↗
46. 10.1007/s11665-011-9858-710.1007/s11665-011-9858-7 ↗
47. Lee H.‐T. · J. Comput. Des. Eng. · 2015 · 2 · 176
48. 10.1093/jom/ufad01110.1093/jom/ufad011 ↗
49. 10.1016/j.snr.2023.10016010.1016/j.snr.2023.100160 ↗
50. 10.1002/admt.20190089510.1002/admt.201900895 ↗
51. 10.1002/aisy.20220017410.1002/aisy.202200174 ↗
52. 10.1002/admt.20180031310.1002/admt.201800313 ↗
53. 10.1177/1045389X1879947410.1177/1045389X18799474 ↗
54. 10.1002/admt.20230194910.1002/admt.202301949 ↗
55. 10.1002/adma.20230445510.1002/adma.202304455 ↗
56. 10.1002/adfm.20240944310.1002/adfm.202409443 ↗
57. Levine D. J. · Sci. Rob. · 2022
58. 10.1109/LRA.2024.336080810.1109/LRA.2024.3360808 ↗
59. Diller S. · 2016
60. 10.1002/aisy.20210004310.1002/aisy.202100043 ↗
61. 10.1145/367856710.1145/3678567 ↗
62. R.Hinchet V.Vechev H.Shea O.Hilliges InProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology Association for Computing Machinery New York NY USA 2018.
63. 10.1109/TRO.2022.317249810.1109/TRO.2022.3172498 ↗
64. 10.1126/scirobotics.adj724610.1126/scirobotics.adj7246 ↗
65. R. S.Diteesawat S.Hoh E.Pulvirenti N.Rahman L.Morris A.Turton M.Cramp J.Rossiter In2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE Piscataway 2022.
66. 10.1109/LRA.2023.334051110.1109/LRA.2023.3340511 ↗
67. Y.Sun K. M.Digumarti H.‐V.Phan O.Aloui D.Floreano In2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE Kyoto Japan 2022.
68. 10.1002/adfm.20200827810.1002/adfm.202008278 ↗
69. 10.1126/scitranslmed.aai908410.1126/scitranslmed.aai9084 ↗
70. 10.1002/admt.20200038310.1002/admt.202000383 ↗
71. 10.1002/adfm.20221254110.1002/adfm.202212541 ↗
72. 10.1126/sciadv.adi713310.1126/sciadv.adi7133 ↗
73. T.Hiramitsu K.Suzumori H.Nabae G.Endo In 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft) IEEE Seoul 2019.10.1299/jsmermd.2019.1P2-F06 ↗
74. 10.1177/230949902090571110.1177/2309499020905711 ↗
75. 10.1126/scirobotics.adi237710.1126/scirobotics.adi2377 ↗
76. 10.1016/j.robot.2014.08.01410.1016/j.robot.2014.08.014 ↗
77. P. H.Nguyen I. B.Imran Mohd C.Sparks F. L.Arellano W.Zhang P.Polygerinos In2019 International Conference on Robotics and Automation (ICRA) IEEE Montreal.
78. 10.1126/science.ade865410.1126/science.ade8654 ↗
79. 10.1002/adfm.20211114510.1002/adfm.202111145 ↗
80. 10.1088/1361-665X/ac655010.1088/1361-665X/ac6550 ↗
81. 10.21926/obm.icm.190305310.21926/obm.icm.1903053 ↗
82. Dalziel C. F. · Trans. Am. Inst. Electri. Eng. Part 2 · 1956 · 75 · 49
83. IEEE Guide for Safety in AC Substation Grounding IEEE Std 80–20002000 https://doi.org/10.1109/IEEESTD.2000.91902.10.1109/IEEESTD.2000.91902 ↗
84. Pourazadi S. · Smart Mater. Struct. · 2017 · 305 · 54