journal article·2025-09-10

Self-Powered Biomimetic Tactile Sensing with Broad Linear Range via Synchronous Mechano-Electrical Regulation

Tiantong Wang, Yewei Song, Yunbiao Zhao, Yinhao Wang, Yang Xu, Qi Wu, Qining Wang, Yan Huang

ACS Applied Materials & Interfaces· Volume 17· Issue 36
Publisher page

Abstract

Self-powered flexible pressure sensors based on the mechano-potentiometric conversion mechanism are gaining research interest for robotic tactile sensing and wearables. In contrast to the dynamic mechanical stimuli responsiveness of piezoelectric and triboelectric sensors, they offer the advantage of transducing static mechanical stimuli into sustained voltage outputs. However, sensors employing this mechanism suffer from limitations such as a narrow pressure response range and poor response linearity. Herein, a mechano-potentiometric transducer based on an internal-cavity/microhemisphere-structured solid electrolyte is presented, which achieves a broad linear sensing range in pressure sensing through the synergistic mechano-electrical regulation upon applied pressure. The fabricated sensor exhibits broad (0–350 kPa) and linear (1.66 mV kPa –1, R 2 = 0.995) pressure sensing performance and shows fast response (42.3 ms)/recovery (62.6 ms) and excellent repeatability (>10,000 cycles). To evaluate its spatial pressure sensing capability, the sensor is scaled into a matrix for pressure distribution mapping. Furthermore, integration of the matrix onto a robotic gripper enables the softness recognition of eight distinct silicone samples with a high accuracy of 95.31%, and facilitates feedback control of the gripper’s grasping force based on fruit softness. This work provides a strategy for high-linearity, broad-range self-powered potentiometric sensors for robotic tactile sensing.
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

Key Laboratory of Biomimetic Robots and Systems of Ministry of Education, School of Mechatronical Engineering

Beijing Institute of Technology

State Key Laboratory of Nuclear Physics and Technology, School of Physics

Peking University

Department of Advanced Manufacturing and Robotics, College of Engineering

Funding

China Postdoctoral Science Foundation · National Natural Science Foundation of China · Beijing Institute of Technology Research Funds for High-Level Talents

References (47)

Show source-provided references
1. 10.1088/1361-665X/ac0c2e10.1088/1361-665X/ac0c2e ↗
2. 10.1109/TRO.2025.356304610.1109/TRO.2025.3563046 ↗
3. 10.1126/scirobotics.abc813410.1126/scirobotics.abc8134 ↗
4. 10.1002/adfm.20250051910.1002/adfm.202500519 ↗
5. 10.1126/sciadv.abd779510.1126/sciadv.abd7795 ↗
6. 10.1016/j.nanoen.2025.11069710.1016/j.nanoen.2025.110697 ↗
7. 10.1038/s41467-023-42722-410.1038/s41467-023-42722-4 ↗
8. 10.1109/TRO.2020.300323010.1109/TRO.2020.3003230 ↗
9. 10.1126/sciadv.adr930010.1126/sciadv.adr9300 ↗
10. 10.1038/s41467-024-51261-510.1038/s41467-024-51261-5 ↗
11. 10.1126/scirobotics.aaz923910.1126/scirobotics.aaz9239 ↗
12. 10.1016/j.sna.2018.07.00610.1016/j.sna.2018.07.006 ↗
13. 10.1021/acssensors.3c0081810.1021/acssensors.3c00818 ↗
14. 10.1002/admt.20220195910.1002/admt.202201959 ↗
15. 10.1021/acssensors.4c0323810.1021/acssensors.4c03238 ↗
16. 10.1002/smll.20240552010.1002/smll.202405520 ↗
17. 10.1002/adma.20241997010.1002/adma.202419970 ↗
18. 10.1126/science.aaw197410.1126/science.aaw1974 ↗
19. 10.1002/adfm.20180637910.1002/adfm.201806379 ↗
20. 10.1002/adfm.20230624910.1002/adfm.202306249 ↗
21. 10.3390/gels903025710.3390/gels9030257 ↗
22. 10.1002/adfm.20210885610.1002/adfm.202108856 ↗
23. 10.1126/sciadv.aba106210.1126/sciadv.aba1062 ↗
24. 10.1002/adma.20240677810.1002/adma.202406778 ↗
25. 10.1109/JSEN.2024.347617310.1109/JSEN.2024.3476173 ↗
26. 10.1016/j.cej.2022.13691010.1016/j.cej.2022.136910 ↗
27. 10.1016/j.pmatsci.2024.10135610.1016/j.pmatsci.2024.101356 ↗
28. 10.1021/acsnano.4c1415710.1021/acsnano.4c14157 ↗
29. 10.1038/s41467-022-33133-y10.1038/s41467-022-33133-y ↗
30. 10.1016/j.cej.2021.13428310.1016/j.cej.2021.134283 ↗
31. 10.1002/adma.20200597010.1002/adma.202005970 ↗
32. 10.1016/j.nanoen.2022.10795410.1016/j.nanoen.2022.107954 ↗
33. 10.1007/s40820-024-01532-z10.1007/s40820-024-01532-z ↗
34. 10.1002/advs.20240151510.1002/advs.202401515 ↗
35. 10.1002/adma.20220536910.1002/adma.202205369 ↗
36. 10.1002/adma.20230879510.1002/adma.202308795 ↗
37. 10.1002/adma.20241794410.1002/adma.202417944 ↗
38. 10.1016/j.cej.2023.14758610.1016/j.cej.2023.147586 ↗
39. 10.1016/j.cej.2024.15481210.1016/j.cej.2024.154812 ↗
40. 10.1038/s41467-023-42361-910.1038/s41467-023-42361-9 ↗
41. 10.1021/acsnano.1c1053510.1021/acsnano.1c10535 ↗
42. 10.1016/j.nanoen.2018.11.05710.1016/j.nanoen.2018.11.057 ↗
43. 10.1007/s40820-021-00770-910.1007/s40820-021-00770-9 ↗
44. 10.1016/j.jcis.2020.08.02010.1016/j.jcis.2020.08.020 ↗
45. 10.1016/j.jid.2019.06.13710.1016/j.jid.2019.06.137 ↗
46. 10.1021/acsnano.4c0410010.1021/acsnano.4c04100 ↗
47. McInnes, L.; Healy, J.; Melville, J. Umap: Uniform Manifold Approximation and Projection for Dimension Reduction. 2018 arXiv:1802.03426. arXiv.org e-Printarchive. https://doi.org/10.48550/arXiv.1802.03426.