3D printing for soft robotics – a review
Source abstract
Abstract
Soft robots have received an increasing attention due to their advantages of high flexibility and safety for human operators but the fabrication is a challenge. Recently, 3D printing has been used as a key technology to fabricate soft robots because of high quality and printing multiple materials at the same time. Functional soft materials are particularly well suited for soft robotics due to a wide range of stimulants and sensitive demonstration of large deformations, high motion complexities and varied multi-functionalities. This review comprises a detailed survey of 3D printing in soft robotics. The development of key 3D printing technologies and new materials along with composites for soft robotic applications is investigated. A brief summary of 3D-printed soft devices suitable for medical to industrial applications is also included. The growing research on both 3D printing and soft robotics needs a summary of the major reported studies and the authors believe that this review article serves the purpose.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Soft Robotics and Applications · Micro and Nano Robotics · 3D Printing in Biomedical Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechatronics Engineering, Jeju National University , Jeju, South Korea
Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering and Technology , Topi, Pakistan
Funding
Ministry of Science, ICT and Future Planning · National Research Council of Science & Technology (NST) by Korea Government
References (100+)
Show source-provided references
1. 10.1016/j.ifacol.2016.11.11110.1016/j.ifacol.2016.11.111 ↗
2. 10.1007/s00170-015-7576-210.1007/s00170-015-7576-2 ↗
3. 10.1088/0964-1726/25/11/11500910.1088/0964-1726/25/11/115009 ↗
4. 10.1089/soro.2016.004210.1089/soro.2016.0042 ↗
5. 10.1108/RPJ-04-2013-003810.1108/RPJ-04-2013-0038 ↗
6. 10.1109/AERO.2014.683645610.1109/AERO.2014.6836456 ↗
7. 10.1007/s00542-017-3342-810.1007/s00542-017-3342-8 ↗
8. 10.1108/RPJ-04-2014-004810.1108/RPJ-04-2014-0048 ↗
9. 10.1016/j.addma.2016.04.00210.1016/j.addma.2016.04.002 ↗
10. 10.1007/s00170-015-6994-510.1007/s00170-015-6994-5 ↗
11. 10.1557/jmr.2014.15910.1557/jmr.2014.159 ↗
12. 10.1108/RPJ-01-2013-001210.1108/RPJ-01-2013-0012 ↗
13. 10.1080/23311916.2016.126150310.1080/23311916.2016.1261503 ↗
14. Ford SLN · J Int Commer Econ · 2014 · 6 · 1
15. 10.1016/j.jclepro.2016.04.15010.1016/j.jclepro.2016.04.150 ↗
16. 10.1016/j.addma.2017.01.00310.1016/j.addma.2017.01.003 ↗
17. 10.1051/mfreview/201400110.1051/mfreview/2014001 ↗
18. 10.1007/s11465-013-0248-810.1007/s11465-013-0248-8 ↗
19. Hedges M · 2012 · 14
20. 10.1115/1.402872510.1115/1.4028725 ↗
21. 10.1108/RPJ-12-2011-012710.1108/RPJ-12-2011-0127 ↗
22. 10.1080/00207543.2016.122906410.1080/00207543.2016.1229064 ↗
23. 10.1080/17452759.2016.124020810.1080/17452759.2016.1240208 ↗
24. 10.1089/3dp.2014.150210.1089/3dp.2014.1502 ↗
25. 10.1007/s00170-012-4605-210.1007/s00170-012-4605-2 ↗
26. 10.1016/j.ijfatigue.2017.01.00110.1016/j.ijfatigue.2017.01.001 ↗
27. 10.1007/s10439-016-1638-y10.1007/s10439-016-1638-y ↗
28. 10.1016/j.pmatsci.2016.08.00110.1016/j.pmatsci.2016.08.001 ↗
29. 10.1080/17452759.2013.77817510.1080/17452759.2013.778175 ↗
30. 10.1089/3dp.2015.003910.1089/3dp.2015.0039 ↗
31. 10.1080/17452759.2015.109705410.1080/17452759.2015.1097054 ↗
32. 10.1016/j.sna.2016.09.02810.1016/j.sna.2016.09.028 ↗
33. 10.1007/s00170-015-7085-310.1007/s00170-015-7085-3 ↗
34. 10.1002/adma.20160348310.1002/adma.201603483 ↗
35. Dordlofva C , Lindwall A , Törlind P . Opportunities and challenges for additive manufacturing in space applications. Proc Nord. 2016; Trondheim, Norway, 10th - 12th August 2016;1:401–410. ISBN: 978-1-904670-80-3.
36. 10.1016/j.ast.2016.12.01910.1016/j.ast.2016.12.019 ↗
37. 10.1021/ac403397r10.1021/ac403397r ↗
38. 10.1002/elan.20160004310.1002/elan.201600043 ↗
39. 10.1155/2013/68105010.1155/2013/681050 ↗
40. 10.1007/s12013-016-0730-010.1007/s12013-016-0730-0 ↗
41. 10.1186/s12938-016-0236-410.1186/s12938-016-0236-4 ↗
42. 10.1002/adfm.20130367610.1002/adfm.201303676 ↗
43. 10.1089/soro.2014.000810.1089/soro.2014.0008 ↗
44. 10.1002/adma.20157018210.1002/adma.201570182 ↗
45. 10.1007/978-3-319-46460-210.1007/978-3-319-46460-2 ↗
46. 10.1126/scirobotics.aai752910.1126/scirobotics.aai7529 ↗
47. 10.1038/nature1910010.1038/nature19100 ↗
48. 10.1002/adfm.20130328810.1002/adfm.201303288 ↗
49. 10.1002/adma.20120300210.1002/adma.201203002 ↗
50. 10.1109/IROS.2013.669646810.1109/IROS.2013.6696468 ↗
51. 10.1109/ICRA.2014.690727210.1109/ICRA.2014.6907272 ↗
52. 10.1109/IROS.2015.735370510.1109/IROS.2015.7353705 ↗
53. 10.1126/science.aab012910.1126/science.aab0129 ↗
54. 10.1007/978-3-319-23778-7_2710.1007/978-3-319-23778-7_27 ↗
55. 10.1088/1748-3182/8/2/02600310.1088/1748-3182/8/2/026003 ↗
56. 10.1109/IROS.2015.735359610.1109/IROS.2015.7353596 ↗
57. 10.1088/1748-3190/11/2/02500110.1088/1748-3190/11/2/025001 ↗
58. 10.1038/nature2100310.1038/nature21003 ↗
59. 10.1038/srep0085710.1038/srep00857 ↗
60. 10.1039/C1LC20688E10.1039/C1LC20688E ↗
61. 10.1088/1748-3190/10/5/05500310.1088/1748-3190/10/5/055003 ↗
62. MacCurdy R · arXiv Prepr. arXiv1512.03744 · 2015
63. 10.1088/0964-1726/25/11/11500910.1088/0964-1726/25/11/115009 ↗
64. 10.1088/1748-3182/6/2/02600710.1088/1748-3182/6/2/026007 ↗
65. 10.1109/ICMLA.2013.4410.1109/ICMLA.2013.44 ↗
66. 10.1109/IROS.2013.669708510.1109/IROS.2013.6697085 ↗
67. Guo SZ · 2013 · 1
68. 10.1002/adfm.20060043410.1002/adfm.200600434 ↗
69. 10.1016/j.eml.2015.09.00510.1016/j.eml.2015.09.005 ↗
70. Xu X · Am Soc Mech Eng · 2000 · 1
71. Bailey SA · Robot Res 9th Int Symp · 1999 · 403
72. 10.1177/027836490202101083710.1177/0278364902021010837 ↗
73. 10.1115/IMECE2005-7979110.1115/IMECE2005-79791 ↗
74. 10.1115/1.402949310.1115/1.4029493 ↗
75. 10.1109/LRA.2016.259860110.1109/LRA.2016.2598601 ↗
76. 10.1088/0964-1726/24/12/12502110.1088/0964-1726/24/12/125021 ↗
77. 10.1109/BioRob.2012.629029010.1109/BioRob.2012.6290290 ↗
78. 10.1109/AIM.2016.757673510.1109/AIM.2016.7576735 ↗
79. 10.1089/soro.2016.003010.1089/soro.2016.0030 ↗
80. 10.1117/12.81574610.1117/12.815746 ↗
81. Cai J · 2016
82. 10.1002/adma.20150313210.1002/adma.201503132 ↗
83. 10.1007/s00170-015-7843-210.1007/s00170-015-7843-2 ↗
84. 10.1109/TENCON.2016.784843310.1109/TENCON.2016.7848433 ↗
85. 10.1016/j.biomaterials.2015.10.07610.1016/j.biomaterials.2015.10.076 ↗
86. 10.1038/ncomms1423010.1038/ncomms14230 ↗
87. 10.1088/0964-1726/21/6/06501310.1088/0964-1726/21/6/065013 ↗
88. 10.1109/IROS.2013.669701610.1109/IROS.2013.6697016 ↗
89. 10.1038/nature1454310.1038/nature14543 ↗
90. 10.1089/soro.2014.002210.1089/soro.2014.0022 ↗
91. 10.1016/j.eml.2015.09.00510.1016/j.eml.2015.09.005 ↗
92. 10.1007/s12541-012-0081-810.1007/s12541-012-0081-8 ↗
93. 10.1109/ROBOT.2010.550924710.1109/ROBOT.2010.5509247 ↗
94. 10.1016/j.robot.2014.08.01410.1016/j.robot.2014.08.014 ↗
95. 10.1115/1.402703110.1115/1.4027031 ↗
96. 10.1177/027836491454379310.1177/0278364914543793 ↗
97. 10.1089/soro.2014.000310.1089/soro.2014.0003 ↗
98. 10.1073/pnas.161514011410.1073/pnas.1615140114 ↗
99. 10.1089/soro.2016.002610.1089/soro.2016.0026 ↗
100. 10.1002/adma.20140033410.1002/adma.201400334 ↗