A Compact, Elastomeric Multimodal Sensor for Tactile Softness Discrimination

ABSTRACT Replicating the natural ability to perceive softness in skin‐inspired tactile sensors is vital for the advancement of robotic manipulation and object classification. Humans sense softness through the activation of specific skin receptors, which are sensitive to pressure and lateral strain. Current electronic skins (eSkin) mimic this dual functionality by detecting both normal pressure and lateral strain. However, these sensors are challenging to fabricate and often have large spatial footprints, limiting their integration into high‐density arrays. To overcome these challenges, this work presents an all‐elastomer sensor for tactile detection of softness, combining a parallel‐plate capacitor structure with a serpentine piezoresistive strain sensor in a vertically stacked design. Conductive carbon structures, digitally laser patterned and embedded in a styrene‐ethylene‐butylene‐styrene (SEBS) thermoplastic elastomer, serve as robust and modifiable electrodes. The device displays the ability to differentiate moduli between 74 kPa and 1.49 MPa. We conduct a parametric study to evaluate the effects of object dimensions, materials choices, and design parameters on sensor performance. Importantly, we investigate the sensor performance when mounted onto a soft substrate, analogous to the human fingertip or robotic digit. Overall, this work highlights the potential of z‐directionally stacked sensing components with tunable properties to realize compact, multimodal devices.

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Publication Details

Journal
Advanced Materials Technologies
Published
2025-12-23
DOI
https://doi.org/10.1002/admt.202501685
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Compact, Elastomeric Multimodal Sensor for Tactile Softness Discrimination

Samuel E. Root, Arielle Berman, Levent Beker, Chengyi Xu et al.
Advanced Materials Technologies
Advanced Sensor and Energy Harvesting Materials
article

A Compact, Elastomeric Multimodal Sensor for Tactile Softness Discrimination

Samuel E. Root, Arielle Berman, Levent Beker, Chengyi Xu, Baiyu Shi, Eunyoung Kim, Zhenan Bao
article en

Abstract

ABSTRACT Replicating the natural ability to perceive softness in skin‐inspired tactile sensors is vital for the advancement of robotic manipulation and object classification. Humans sense softness through the activation of specific skin receptors, which are sensitive to pressure and lateral strain. Current electronic skins (eSkin) mimic this dual functionality by detecting both normal pressure and lateral strain. However, these sensors are challenging to fabricate and often have large spatial footprints, limiting their integration into high‐density arrays. To overcome these challenges, this work presents an all‐elastomer sensor for tactile detection of softness, combining a parallel‐plate capacitor structure with a serpentine piezoresistive strain sensor in a vertically stacked design. Conductive carbon structures, digitally laser patterned and embedded in a styrene‐ethylene‐butylene‐styrene (SEBS) thermoplastic elastomer, serve as robust and modifiable electrodes. The device displays the ability to differentiate moduli between 74 kPa and 1.49 MPa. We conduct a parametric study to evaluate the effects of object dimensions, materials choices, and design parameters on sensor performance. Importantly, we investigate the sensor performance when mounted onto a soft substrate, analogous to the human fingertip or robotic digit. Overall, this work highlights the potential of z‐directionally stacked sensing components with tunable properties to realize compact, multimodal devices.

Advanced Materials Technologies
Koç University (TR), Stanford University (US)
National Science Foundation, Division of Electrical, Communications and Cyber Systems
Reduced inequalities
Openalex Percentile: Top 43%
Advanced Sensor and Energy Harvesting Materials
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A Compact, Elastomeric Multimodal Sensor for Tactile Softness Discrimination — Samuel E. Root, Arielle Berman, et al. · Advanced Materials Technologies (2025) | TGRS Research Map | TGRS