Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection

This work reports a dual-modulus microcone array for graded tactile sensing and intelligent slip detection. The asymmetric microstructure─comprising hollow and solid polydimethylsiloxane/carbon nanotube (PDMS/CNT) microneedle arrays with distinct Young’s moduli (460.8 kPa vs 581.2 kPa)─produces a hierarchical mechanical response fundamentally different from conventional single-modulus designs. This structural design yields high sensitivity (9.55 kPa –1 ) over a broad pressure range (0.1–450 kPa), fast response/recovery (68/51 ms), and durability exceeding 10000 cycles. The superhydrophobic surface (contact angle 156.5 ± 1.0°, sliding angle <2°) ensures stable operation in wet and variable-temperature environments (10–70 °C). Integrated with a one-dimensional convolutional neural network for slip detection and adaptive feedback control, the sensor enables real-time grip force regulation during delicate object manipulation, minimizing mechanical damage and contamination. This work establishes a materials platform that couples interfacial engineering with machine learning-enhanced perception, with implications for soft robotics, wearable electronics, and intelligent human-machine interfaces.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-06-29
DOI
https://doi.org/10.1021/acsami.6c08642
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection

Xinglan Fu, Guanglin Li, Zhen Wei, Wei Liu et al.
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
article

Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection

Xinglan Fu, Guanglin Li, Zhen Wei, Wei Liu, Chunjiang Zhao, Yi Xiong, Yuehua Huang
article en

Abstract

This work reports a dual-modulus microcone array for graded tactile sensing and intelligent slip detection. The asymmetric microstructure─comprising hollow and solid polydimethylsiloxane/carbon nanotube (PDMS/CNT) microneedle arrays with distinct Young’s moduli (460.8 kPa vs 581.2 kPa)─produces a hierarchical mechanical response fundamentally different from conventional single-modulus designs. This structural design yields high sensitivity (9.55 kPa –1 ) over a broad pressure range (0.1–450 kPa), fast response/recovery (68/51 ms), and durability exceeding 10000 cycles. The superhydrophobic surface (contact angle 156.5 ± 1.0°, sliding angle <2°) ensures stable operation in wet and variable-temperature environments (10–70 °C). Integrated with a one-dimensional convolutional neural network for slip detection and adaptive feedback control, the sensor enables real-time grip force regulation during delicate object manipulation, minimizing mechanical damage and contamination. This work establishes a materials platform that couples interfacial engineering with machine learning-enhanced perception, with implications for soft robotics, wearable electronics, and intelligent human-machine interfaces.

ACS Applied Materials & Interfaces
Southwest University (CN), National Engineering Research Center for Information Technology in Agriculture (CN), AAA College of Engineering and Technology
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection — Xinglan Fu, Guanglin Li, et al. · ACS Applied Materials & Interfaces (2026) | TGRS Research Map | TGRS