Bioinspired Soft Strain Sensors Based on Screen-Printed TPU Nonwovens for Wearable Robotics

This study presents a bionic-inspired approach for fabricating soft strain sensors with intelligent response behavior, aimed at applications in wearable robotics and human–machine interaction. Thermoplastic polyurethane (TPU) meltblown nonwoven fabrics were used as the elastic substrate, on which conductive patterns were formed via screen printing. The influence of structural parameters, ink composition, and post-treatment conditions on sensor performance was systematically investigated. Results show that the developed sensors exhibit excellent stretchability, mechanical stability, and electrical responsiveness under cyclic deformation, enabling reliable signal transduction in dynamic environments. Their performance in joint motion monitoring and real-time resistance response highlights their potential in soft robotics, electronic skin, and biomimetic wearable systems.

Authors

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.10.170
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

Bioinspired Soft Strain Sensors Based on Screen-Printed TPU Nonwovens for Wearable Robotics

Chengzu Li, Mengjie Ji, Yi Zhao, Chen Huang
Procedia Computer Science
Advanced Sensor and Energy Harvesting Materials
article

Bioinspired Soft Strain Sensors Based on Screen-Printed TPU Nonwovens for Wearable Robotics

Chengzu Li, Mengjie Ji, Yi Zhao, Chen Huang
article en

Abstract

This study presents a bionic-inspired approach for fabricating soft strain sensors with intelligent response behavior, aimed at applications in wearable robotics and human–machine interaction. Thermoplastic polyurethane (TPU) meltblown nonwoven fabrics were used as the elastic substrate, on which conductive patterns were formed via screen printing. The influence of structural parameters, ink composition, and post-treatment conditions on sensor performance was systematically investigated. Results show that the developed sensors exhibit excellent stretchability, mechanical stability, and electrical responsiveness under cyclic deformation, enabling reliable signal transduction in dynamic environments. Their performance in joint motion monitoring and real-time resistance response highlights their potential in soft robotics, electronic skin, and biomimetic wearable systems.

Procedia Computer ScienceVol. 271
Openalex Percentile: Top 68%
Advanced Sensor and Energy Harvesting Materials
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