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Nano-Micro Letters · 2022 ·Vol. 14 ·期 1 ·1-13 · IF 23.655

Bioinspired Adaptive, Elastic, and Conductive Graphene Structured Thin-Films Achieving High-Efficiency Underwater Detection and Vibration Perception

Wang Qiling,Xiao Peng,Zhou Wei,Liang Yun,Yin Guangqiang,Yang Qiu,Kuo Shiao-Wei,Chen Tao

The lateral-line-like underwater mechanical sensor (LUMS) realizes the imitation of the structure and function of the lateral line. The detection range of water depth can be controlled by adjusting the size of the graphene/Ecoflex Janus film on LUMS. The maximum measured depth is 1.8 m. Similar to the fish, the mechanical stimuli from land and water can be sensitively captured by LUMS in real time.

研究领域: 材料科学 · 生物仿生学 · 传感技术

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IEEE SENSORS JOURNAL · 2024 ·Vol. 24 ·期 11 ·18327-18335 · IF 4.3

Stretchable Liquid Metal E-Skin for Soft Robot Proprioceptive Vibration Sensing

Zihan Wang,Kai-Chong Lei,Huaze Tang,Yang Luo,Hongfa Zhao,Peisheng He,Wenbo Ding,Liwei Lin

Vibration perception can help robots recognize their dynamic states to explore the surrounding environment. However, the intrinsic stretchability of soft robots poses challenges to integrating vibration sensors. This study introduces an innovative stretchable electronic skin (e-skin) that facilitates vibration proprioception in soft robots. Constructed with a thickness of approximately 0.1 mm, this ultrathin e-skin is produced using a screen-printing technique with liquid metal particles (LMPs), incorporating a kirigami design for seamless integration. The e-skin works by the triboelectric nanogenerator-based sensing mechanism, which transduces mechanical vibration into an electrical signal without an external power source. By analyzing the vibration signals generated by the dynamic motions of soft robots, the e-skin shows a wide range of applications. From the vibration signal of the soft robotic finger’s sliding motion, 17 different textures can be distinguished with 99% accuracy. Furthermore, analysis of the vibration signal from a soft robotic gripper’s swinging motion enables the estimation of both the type and weight of grains inside the container it grips, achieving accuracies of 97.7% and 95.3%, respectively. As such, this work presents a new approach to realizing the vibration proprioception of soft robots, thereby broadening the applications of dynamic proprioception in soft robotics.

研究领域: 生物医学工程 · 柔性电子 · 软体机器人学 · 传感器技术 · 人机交互 · 智能材料 · 纳米能源

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Bioinspired Adaptive, Elastic, and Conductive Graphene Structured Thin-Films Achieving High-Efficiency Underwater Detection and Vibration Perception

Stretchable Liquid Metal E-Skin for Soft Robot Proprioceptive Vibration Sensing