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January 11, 2023ACS Nano162 citations

Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

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SDShengshun DuanQSQiongfeng ShiJHJianlong Hong

Key Points

  • This research aims to develop a comprehensive electronic skin that mimics both sensory and physical-chemical properties of human skin.
  • Developed a water-modulated biomimetic hyper-attribute gel (Hygel) with reversible gel-solid transition.
  • Tested the Hygel e-skin for sensory functions like pressure, temperature, humidity, and strain.
  • Applied the Hygel e-skin for gesture recognition using deep learning on robotic platforms and wearables.
  • The Hygel e-skin demonstrated high biocompatibility and excellent sensory properties.
  • Successfully captured multiple types of sensory information and allowed for function reconfigurability.
  • Enabled real-time gesture recognition, showcasing effective integration with robotic applications.

Abstract

Electronic skin (e-skin), mimicking the physical-chemical and sensory properties of human skin, is promising to be applied as robotic skins and skin-attachable wearables with multisensory functionalities. To date, most e-skins are dedicated to sensory function development to mimic human skins in one or several aspects, yet advanced e-skin covering all the hyper-attributes (including both the sensory and physical-chemical properties) of human skins is seldom reported. Herein, a water-modulated biomimetic hyper-attribute-gel (Hygel) e-skin with reversible gel-solid transition is proposed, which exhibits all the desired skin-like physical-chemical properties (stretchability, self-healing, biocompatibility, biodegradability, weak acidity, antibacterial activities, flame retardance, and temperature adaptivity), sensory properties (pressure, temperature, humidity, strain, and contact), function reconfigurability, and evolvability. Then the Hygel e-skin is applied as an on-robot e-skin and skin-attached wearable to demonstrate its highly skin-like attributes in capturing multiple sensory information, reconfiguring desired functions, and excellent skin compatibility for real-time gesture recognition via deep learning. This Hygel e-skin may find more applications in advanced robotics and even skin-replaceable artificial skin.

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Cite This Study

Duan et al. (2023) studied this question.

synapsesocial.com/papers/6a107a1257bfcc72645ffcc9https://doi.org/10.1021/acsnano.2c09851
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