journal article·2022-09

Liquid Lens‐Based Optical Tactile Sensor with a Touch‐Sensing Separable Structure

Hui Yang, Wenbo Liu, Jiaqi Liu, Yunzhi Ling, Meixia Wu, Weirui Liu, Lihui Wang

Advanced Materials Interfaces· Volume 9· Issue 26
Publisher page

Abstract

Abstract Optical tactile sensing plays an important role in the tactile sensing field, due to its high sensitivity, fast response, and prominent interference immunity. Herein, based on the liquid lens, a low‐cost optical tactile sensor with a touch‐sensing separable structure is designed and fabricated, and it contains a touch unit and an optics sensing unit. The touch unit is a chamber structure with good integration, and the optics sensing unit is designed with a liquid‐membrane structure. Different from the existed optical tactile sensors, the principle of the proposed sensor is that the focal length of the optics sensing unit is changed with an external contact force, and then the directional light propagation direction produces change, which affects the perceived light intensity of the silicon photocell. From the sensing performance test results, this tactile sensor has good statics and dynamics performance, which embodies in the rapid response time (about 0.048 s), stable output, high sensitivity (the max sensitivity is about 7.1338 V/N), and resolution (0.01 N), low hysteresis ratio (less than 6.5%), and good linearity (R2 ≈ 0.98). In addition, some application experiments are conducted and the results demonstrate the application feasibility of the proposed sensor in health monitoring and multichannel sensing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Advanced Fiber Optic Sensors

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

Affiliations

Institute of Semiconductors Guangdong Academy of Sciences Guangdong 510610 P. R. China

School of Mechanical Engineering and Automation Beihang University Beijing 100083 P. R. China

School of Mechanical Engineering and Automation Liaoning Petrochemical University Fushun 113001 P. R. China

Funding

National Natural Science Foundation of China · Guangdong Academy of Sciences · Natural Science Foundation of Guangdong Province

References (47)

Show source-provided references
1. 10.1002/adma.20200590210.1002/adma.202005902 ↗
2. 10.1126/scirobotics.aau691410.1126/scirobotics.aau6914 ↗
3. 10.1016/j.sna.2021.11313310.1016/j.sna.2021.113133 ↗
4. 10.1088/1361-665X/ab675910.1088/1361-665X/ab6759 ↗
5. 10.3390/polym1207149910.3390/polym12071499 ↗
6. 10.1016/j.sna.2019.11174710.1016/j.sna.2019.111747 ↗
7. 10.1021/acsnano.7b0612610.1021/acsnano.7b06126 ↗
8. 10.1126/scirobotics.abc880110.1126/scirobotics.abc8801 ↗
9. 10.1002/adma.20160352710.1002/adma.201603527 ↗
10. 10.1016/j.nanoen.2017.09.02510.1016/j.nanoen.2017.09.025 ↗
11. 10.1016/j.sna.2017.09.04010.1016/j.sna.2017.09.040 ↗
12. 10.1002/aisy.20190000210.1002/aisy.201900002 ↗
13. 10.1089/soro.2019.001910.1089/soro.2019.0019 ↗
14. 10.1109/LRA.2021.306392510.1109/LRA.2021.3063925 ↗
15. 10.1038/s41467-020-19059-310.1038/s41467-020-19059-3 ↗
16. 10.1126/scirobotics.aav148810.1126/scirobotics.aav1488 ↗
17. 10.1109/LRA.2021.306137810.1109/LRA.2021.3061378 ↗
18. 10.1126/sciadv.abb536710.1126/sciadv.abb5367 ↗
19. 10.1002/smll.20210331210.1002/smll.202103312 ↗
20. 10.1038/s41467-021-23020-310.1038/s41467-021-23020-3 ↗
21. 10.1038/s41586-019-1687-010.1038/s41586-019-1687-0 ↗
22. 10.1109/TCSII.2017.275414110.1109/TCSII.2017.2754141 ↗
23. 10.1016/j.nanoen.2021.10679810.1016/j.nanoen.2021.106798 ↗
24. 10.1002/admt.20200007910.1002/admt.202000079 ↗
25. 10.1021/acsami.0c2039210.1021/acsami.0c20392 ↗
26. 10.3390/s1712276210.3390/s17122762 ↗
27. 10.1109/TOH.2009.4710.1109/TOH.2009.47 ↗
28. B. W.Cherrier N.Pestell N. F.Lepora in2020 IEEE Int. Conf. on Robotics and Automation (ICRA) IEEE Paris France2020.
29. Zhang S. X. · 2019
30. 10.1089/soro.2020.020210.1089/soro.2020.0202 ↗
31. W. Z.Yua R.Li M. A.Srinivasan E. H.Adelson in2015 IEEE Int. Conf. on Robotics and Automation (ICRA) IEEE Seattle WA USA2015.
32. W. Z.Yuan M. A.Srinivasan E. H.Adelson in2016 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) IEEE Daejeon Korea2016.
33. 10.1016/S1068-5200(02)00527-810.1016/S1068-5200(02)00527-8 ↗
34. 10.1089/soro.2018.017210.1089/soro.2018.0172 ↗
35. 10.1126/scirobotics.aai752910.1126/scirobotics.aai7529 ↗
36. 10.1002/admt.20210028510.1002/admt.202100285 ↗
37. 10.1002/admt.20200034710.1002/admt.202000347 ↗
38. 10.1088/1361-665X/ac4d6410.1088/1361-665X/ac4d64 ↗
39. 10.3389/frobt.2021.67804610.3389/frobt.2021.678046 ↗
40. 10.1364/OE.22.01944810.1364/OE.22.019448 ↗
41. 10.1063/1.480060310.1063/1.4800603 ↗
42. 10.1364/AO.41947010.1364/AO.419470 ↗
43. 10.1364/OE.25.02994510.1364/OE.25.029945 ↗
44. 10.7567/JJAP.56.12250110.7567/JJAP.56.122501 ↗
45. 10.1177/1045389X1143543510.1177/1045389X11435435 ↗
46. 10.1016/j.ymssp.2014.04.01210.1016/j.ymssp.2014.04.012 ↗
47. 10.1088/1361-665X/ac3c0710.1088/1361-665X/ac3c07 ↗