Visuo‐Tactile Sensor Enabled by Cholesteric Liquid Crystal Elastomer for Soft Robotics

ABSTRACT The widespread adoption of automation to work alongside humans has opened opportunities to integrate soft robotic grippers with a sense of touch for executing a wide variety of tasks. In this work, we demonstrate a visuo‐tactile sensor for soft grippers, which is based on cholesteric liquid crystal elastomers (CLCE) that uses an embedded camera‐vision system to convert the force distribution on the contact surface into an RGB map, to detect and distinguish the applied force without complex transmission and processing of electrical signals. A new method was developed for rapid and cost‐effective fabrication of wafer‐scale CLCE sensing layers with high sensitivity and excellent mechanochromic performance. By integrating the CLCE sensing layer with a 3D‐printed array of microtips, mili‐Newton forces can be detected by color changes with a resolution of ∼2 mN. Through an optimization algorithm, the computational load of color image processing is minimized, and real‐time fast processing of color signals and high‐precision tactile force prediction are performed using a low‐cost Raspberry Pi 4 camera. The processed signal guides a soft robotic gripper to complete grasping actions through a closed‐loop force control. The integration of such mechanochromic films with suitable mechanical actuators could lead to miniaturized and untethered tactile sensors.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-01-06
DOI
https://doi.org/10.1002/adfm.202524139
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Visuo‐Tactile Sensor Enabled by Cholesteric Liquid Crystal Elastomer for Soft Robotics

Shlomo Magdassi, John You En Chan, Lydia Helena Wong, Subhasis Das et al.
Advanced Functional Materials
Soft Robotics and Applications
article

Visuo‐Tactile Sensor Enabled by Cholesteric Liquid Crystal Elastomer for Soft Robotics

Shlomo Magdassi, John You En Chan, Lydia Helena Wong, Subhasis Das, Ning He, Chidanand Hegde, Fu Fan, Wang Zhang, Lei Chen, Joel K. W. Yang, Huigao Duan, Uriel Levy, Rou Yun Teo
article en

Abstract

ABSTRACT The widespread adoption of automation to work alongside humans has opened opportunities to integrate soft robotic grippers with a sense of touch for executing a wide variety of tasks. In this work, we demonstrate a visuo‐tactile sensor for soft grippers, which is based on cholesteric liquid crystal elastomers (CLCE) that uses an embedded camera‐vision system to convert the force distribution on the contact surface into an RGB map, to detect and distinguish the applied force without complex transmission and processing of electrical signals. A new method was developed for rapid and cost‐effective fabrication of wafer‐scale CLCE sensing layers with high sensitivity and excellent mechanochromic performance. By integrating the CLCE sensing layer with a 3D‐printed array of microtips, mili‐Newton forces can be detected by color changes with a resolution of ∼2 mN. Through an optimization algorithm, the computational load of color image processing is minimized, and real‐time fast processing of color signals and high‐precision tactile force prediction are performed using a low‐cost Raspberry Pi 4 camera. The processed signal guides a soft robotic gripper to complete grasping actions through a closed‐loop force control. The integration of such mechanochromic films with suitable mechanical actuators could lead to miniaturized and untethered tactile sensors.

Advanced Functional Materials
Singapore University of Technology and Design (SG), Hunan University (CN), Nanyang Technological University (SG), Hebrew University of Jerusalem (IL), Jerusalem Institute for Israel Studies (IL), Singapore-HUJ Alliance for Research and Enterprise (SG), Singapore Centre for Environmental Life Sciences Engineering (SG)
National Research Foundation
Openalex Percentile: Top 96%
Soft Robotics and Applications
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