journal article·2023-11-29

High-Performance Dual-Responsive Sensing Skin Enabled by Bioinspired Transduction of Coplanar Square-Loop Electrodes

Yan C. Zhao, Wei Xu, Hong Y. Chen, Wei C. Guo, Yun Fang, Xin J. Sheng

ACS Applied Materials & Interfaces· Volume 15· Issue 47
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Abstract

Advancements in intelligent robots and human–machine interaction necessitate a shift in artificial skins toward multimodal perception. Dual-responsive skins that can detect proximity and pressure information are significant to establishing continuous sensing of interaction processes and extending interactive application scenarios. To address the current limitations of inadequate dual-mode performance, such as limited proximal response change and low tactile sensitivity, this paper presents a bioinspired complementary gradient architecture-enabled (CGA) transduction design and a high-performance dual-responsive skin based on coplanar square-loop electrodes. Through systematic investigation into the transduction of various electrode configurations, comparative results reveal the remarkable potential of coplanar electrodes to deliver superior dual-mode performance without compromise. Simulations and experiments prove that the proposed CGA response mechanism can capture local interface deformation and overall compression signals, further enhancing response sensitivity. The final developed artificial skin is sensitive to external pressure and the approach of objects simultaneously, exhibiting a long detection distance (∼40 mm), a high proximity response (>0.4), and outstanding touch sensitivity (0.131 kPa –1 ). Furthermore, we demonstrate proof-of-concept applications for the proposed sensing skin in a dual-mode teleoperation interface and adaptive grasping interactions.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Muscle activation and electromyography studies

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

Affiliations

The State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai 200240, China

Funding

Natural Science Foundation of Shanghai · National Natural Science Foundation of China

References (45)

Show source-provided references
1. 10.1021/acsami.1c1342010.1021/acsami.1c13420 ↗
2. 10.1021/acsami.3c0269010.1021/acsami.3c02690 ↗
3. 10.1021/acsami.1c1501410.1021/acsami.1c15014 ↗
4. 10.1126/science.aaf881010.1126/science.aaf8810 ↗
5. 10.1126/scirobotics.abc813410.1126/scirobotics.abc8134 ↗
6. 10.1126/sciadv.abe294310.1126/sciadv.abe2943 ↗
7. 10.1126/sciadv.abo520110.1126/sciadv.abo5201 ↗
8. 10.1007/s40820-022-00834-410.1007/s40820-022-00834-4 ↗
9. 10.1126/sciadv.abq252110.1126/sciadv.abq2521 ↗
10. 10.1126/sciadv.abj790610.1126/sciadv.abj7906 ↗
11. 10.1002/smll.20190635210.1002/smll.201906352 ↗
12. 10.1126/sciadv.aay284010.1126/sciadv.aay2840 ↗
13. 10.1038/s41467-017-02685-910.1038/s41467-017-02685-9 ↗
14. 10.1126/scirobotics.aau691410.1126/scirobotics.aau6914 ↗
15. 10.1002/adma.20170345610.1002/adma.201703456 ↗
16. 10.1002/advs.20200111610.1002/advs.202001116 ↗
17. 10.1126/sciadv.abb536710.1126/sciadv.abb5367 ↗
18. 10.1126/sciadv.160220010.1126/sciadv.1602200 ↗
19. 10.1002/admi.20200030610.1002/admi.202000306 ↗
20. 10.1109/JSEN.2022.316806810.1109/JSEN.2022.3168068 ↗
21. 10.1109/JSEN.2009.203066010.1109/JSEN.2009.2030660 ↗
22. 10.1002/adfm.20200743610.1002/adfm.202007436 ↗
23. 10.1038/s41467-019-12303-510.1038/s41467-019-12303-5 ↗
24. 10.1109/TIE.2014.233466710.1109/TIE.2014.2334667 ↗
25. 10.1109/JSEN.2015.247184510.1109/JSEN.2015.2471845 ↗
26. 10.1007/s12274-014-0510-310.1007/s12274-014-0510-3 ↗
27. 10.1109/JSEN.2010.204423910.1109/JSEN.2010.2044239 ↗
28. 10.1021/acsami.1c2371610.1021/acsami.1c23716 ↗
29. 10.1021/acsami.0c1654610.1021/acsami.0c16546 ↗
30. 10.1038/s41467-020-19531-010.1038/s41467-020-19531-0 ↗
31. 10.1002/smll.20220683010.1002/smll.202206830 ↗
32. 10.1016/j.nanoen.2019.05.04610.1016/j.nanoen.2019.05.046 ↗
33. 10.1021/acsaelm.1c0127410.1021/acsaelm.1c01274 ↗
34. 10.1021/acsmaterialslett.2c0086010.1021/acsmaterialslett.2c00860 ↗
35. 10.1002/sstr.20200007910.1002/sstr.202000079 ↗
36. Rocha, R.; Lopes, P.; de Almeida, A. T.; Tavakoli, M.; Majidi, C. Soft-Matter Sensor for Proximity, Tactile and Pressure Detection. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); IEEE: Vancouver, BC, 2017; pp 3734–3738.10.1109/IROS.2017.8206222 ↗
37. Ergun, S.; Ding, Y.; Alagi, H.; Schoffmann, C.; Ubezio, B.; Soti, G.; Rathmair, M.; Muhlbacher-Karrer, S.; Thomas, U.; Hein, B.; Hofbaur, M.; Zangl, H. A Unified Perception Benchmark for Capacitive Proximity Sensing Towards Safe Human-Robot Collaboration (HRC). In 2021 IEEE International Conference on Robotics and Automation (ICRA); IEEE: Xi’an, China, 2021; pp 3634–3640.10.1109/ICRA48506.2021.9561224 ↗
38. 10.1109/TRO.2021.311178610.1109/TRO.2021.3111786 ↗
39. Navarro S. E. · 2015 · 5410.1007/978-3-662-44506-8_6 ↗
40. 10.1002/adma.20200826710.1002/adma.202008267 ↗
41. 10.1016/j.nanoen.2021.10618110.1016/j.nanoen.2021.106181 ↗
42. 10.1002/adfm.20190452310.1002/adfm.201904523 ↗
43. 10.1038/ncomms255310.1038/ncomms2553 ↗
44. 10.1109/JSEN.2006.87016110.1109/JSEN.2006.870161 ↗
45. 10.1038/s41551-018-0336-510.1038/s41551-018-0336-5 ↗