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

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<sup>-1</sup>, <i>R</i><sup>2</sup> = 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.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-08-27
DOI
https://doi.org/10.1021/acsami.5c13685
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

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article

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

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1 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
0.67
article

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

Qi Wu, Yinhao Wang, Qining Wang, Xu Yang, Yunbiao Zhao, Yan Huang, Tiantong Wang, Yewei Song
article en
1 citations

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<sup>-1</sup>, <i>R</i><sup>2</sup> = 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.

ACS Applied Materials & InterfacesVol. 17(36)
Beijing Institute of Technology (CN), Peking University (CN), Key Laboratory of Nuclear Radiation and Nuclear Energy Technology (CN), BioMimetic Systems (United States) (US), State Key Laboratory of Nuclear Physics and Technology
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.67
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