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