An Untethered Magnetic Microgripper for High‐Throughput Micromanipulation
Source abstract
Abstract
Abstract Microgripper is a small‐miniaturized robotic device employed to maneuver sub‐millimeter‐sized particles or objects that are too small to be manipulated by human hands or conventional tools. The design and fabrication of the microgripper pose challenges due to the integration of actuation components into their structure. To address this challenge, the authors in this work presented a novel magnetic microgripper wherein the functions of the actuation components are executed by the two pairs of microgripper arms made up of magnetic material. A custom‐made electromagnetic system consisting of eight coils is employed to externally control these arms, enabling precise execution of gripping up to a maximum of two microparticles per working cycle. By varying the magnetic field strength from 20 to 120 mT, a wide range of gripper‐arms opening distance is achieved, spanning from 0.3 to 1.3 mm. Consequently, the microgripper is demonstrated to grip different sizes of microparticles ranging from 0.3 to 1.2 mm. As part of the motion control capabilities, the microgripper is demonstrated to orient and navigate across a 360‐degree range within the microfluidic environment. The presented microgripper holds promise for manipulating a wide variety of microparticle sizes and shapes, offering potential for high‐throughput applications
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Micro and Nano Robotics · Modular Robots and Swarm Intelligence · Microfluidic and Bio-sensing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering National Cheng Kung University Tainan 701 Taiwan
Department of Radiology Shuang‐Ho Hospital Taipei Medical University New Taipei City Taiwan
Funding
Ministry of Science and Technology, Taiwan
References (63)
Show source-provided references
1. 10.1023/A:100798731694010.1023/A:1007987316940 ↗
2. 10.1002/smll.20210457910.1002/smll.202104579 ↗
3. 10.1088/0960-1317/16/8/01710.1088/0960-1317/16/8/017 ↗
4. 10.3390/act702002710.3390/act7020027 ↗
5. 10.1109/JMEMS.2004.82531110.1109/JMEMS.2004.825311 ↗
6. 10.1088/1361-665X/ac3ebf10.1088/1361-665X/ac3ebf ↗
7. 10.1002/adfm.20140027510.1002/adfm.201400275 ↗
8. 10.1016/j.eml.2021.10126810.1016/j.eml.2021.101268 ↗
9. 10.1016/j.mee.2007.01.15310.1016/j.mee.2007.01.153 ↗
10. 10.1007/s00170-002-1493-x10.1007/s00170-002-1493-x ↗
11. 10.1109/LRA.2023.324216810.1109/LRA.2023.3242168 ↗
12. 10.1007/s00542-013-2065-810.1007/s00542-013-2065-8 ↗
13. 10.1016/j.matdes.2023.11207810.1016/j.matdes.2023.112078 ↗
14. 10.3390/mi1201006810.3390/mi12010068 ↗
15. 10.1016/j.compositesb.2015.08.02010.1016/j.compositesb.2015.08.020 ↗
16. H.Adldoost B. R.Jouibary A.Zabihollah presented at 2012 19th Iranian Conf. of Biomedical Engineering (ICBME) Tehran Iran December2012 97.10.1109/ICBME.2012.6519665 ↗
17. 10.1039/D2LC00758D10.1039/D2LC00758D ↗
18. 10.1016/j.snb.2017.05.16610.1016/j.snb.2017.05.166 ↗
19. 10.1007/s00348-016-2197-610.1007/s00348-016-2197-6 ↗
20. 10.1016/j.optlaseng.2022.10738010.1016/j.optlaseng.2022.107380 ↗
21. 10.1007/s10404-021-02423-010.1007/s10404-021-02423-0 ↗
22. 10.1038/s41598-022-25713-110.1038/s41598-022-25713-1 ↗
23. 10.1016/j.mechatronics.2014.07.00710.1016/j.mechatronics.2014.07.007 ↗
24. 10.1039/c3lc50287b10.1039/c3lc50287b ↗
25. 10.1038/s41598-022-07938-210.1038/s41598-022-07938-2 ↗
26. 10.1039/D0CS00120A10.1039/D0CS00120A ↗
27. 10.1002/adhm.20140025610.1002/adhm.201400256 ↗
28. 10.1126/scirobotics.aam643110.1126/scirobotics.aam6431 ↗
29. 10.1109/TMECH.2020.302874610.1109/TMECH.2020.3028746 ↗
30. 10.1177/221106821454215510.1177/2211068214542155 ↗
31. 10.1109/TMAG.2014.230378410.1109/TMAG.2014.2303784 ↗
32. 10.1063/1.475452110.1063/1.4754521 ↗
33. 10.1039/c3lc50407g10.1039/c3lc50407g ↗
34. 10.1039/D1LC01168E10.1039/D1LC01168E ↗
35. 10.1007/s00348-014-1765-x10.1007/s00348-014-1765-x ↗
36. 10.1021/acs.chemrev.0c0123410.1021/acs.chemrev.0c01234 ↗
37. 10.1063/1.492142710.1063/1.4921427 ↗
38. 10.1063/1.489593710.1063/1.4895937 ↗
39. 10.3390/mi1305073510.3390/mi13050735 ↗
40. 10.1063/5.002093010.1063/5.0020930 ↗
41. 10.1016/j.isci.2021.10336710.1016/j.isci.2021.103367 ↗
42. 10.1039/C5LC00009B10.1039/C5LC00009B ↗
43. 10.34133/cbsystems.000410.34133/cbsystems.0004 ↗
44. 10.3390/mi1007043610.3390/mi10070436 ↗
45. E.Diller Z.Ye M.Sitti presnted at 2011 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems San Francisco California USA September2011 1291.10.1109/IROS.2011.6094968 ↗
46. 10.1021/ja806961p10.1021/ja806961p ↗
47. 10.3389/fmech.2017.0000710.3389/fmech.2017.00007 ↗
48. J.Zhang M.Salehizadeh E.Diller presented at 2018 IEEE Int. Conf. on Robotics and Automation (ICRA) Brisbane Australia May2018 123.10.1109/ICRA.2018.8462861 ↗
49. 10.1016/j.eng.2023.02.01110.1016/j.eng.2023.02.011 ↗
50. 10.1007/s12213-017-0094-610.1007/s12213-017-0094-6 ↗
51. E.Steager D.Wong J.Wang S.Arora V.Kumar inProc. of 2017 Int. Conf. on Manipulation Automation and Robotics at Small Scales (MARSS) IEEE Montréal Canada2017 pp.1–6.10.1109/MARSS.2017.8001927 ↗
52. J.Zhang P.Jain E.Diller presented at2016 IEEE Int. Conf. on Robotics and Automation (ICRA) Stockholm Sweden May2016 1933.10.1109/ICRA.2016.7487339 ↗
53. 10.1002/adfm.20201119310.1002/adfm.202011193 ↗
54. 10.1177/027836492090310710.1177/0278364920903107 ↗
55. N. A.Torres D. O.Popa presented at 2015 IEEE Int. Conf. on Automation Science and Engineering Gothenburg Sweden August2015 1608.10.1109/CoASE.2015.7294330 ↗
56. 10.1002/admt.20220107310.1002/admt.202201073 ↗
57. 10.1126/scirobotics.aav449410.1126/scirobotics.aav4494 ↗
58. 10.1039/C9LC00534J10.1039/C9LC00534J ↗
59. 10.1002/app.4895810.1002/app.48958 ↗
60. 10.1007/s10404-015-1668-z10.1007/s10404-015-1668-z ↗
61. 10.1038/s41598-020-73455-910.1038/s41598-020-73455-9 ↗
62. 10.1088/0960-1317/18/6/06700110.1088/0960-1317/18/6/067001 ↗
63. 10.1016/j.matchemphys.2023.12806810.1016/j.matchemphys.2023.128068 ↗