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author:

Zhou, Jiahao (Zhou, Jiahao.) [1] | Chen, Huamin (Chen, Huamin.) [2] | Wu, Zhihao (Wu, Zhihao.) [3] | Zhou, Peidi (Zhou, Peidi.) [4] | You, Minghua (You, Minghua.) [5] | Zheng, Chan (Zheng, Chan.) [6] | Guo, Qiaohang (Guo, Qiaohang.) [7] | Li, Zhou (Li, Zhou.) [8] | Weng, Mingcen (Weng, Mingcen.) [9]

Indexed by:

EI

Abstract:

Conventional Ti3C2Tx MXene-based actuators, due to their lack of human-like self-perception capability, have hindered soft robots from progressing toward intelligent robot-environment interactions. Strategies to reconcile environmental stimulus-response actuation and self-powered multi-modal intelligent perception remain challenging. Here, we have designed a flexible actuator with a P-N couple structure. Wherein, the Ti3C2Tx MXene-chitin nanofibers (MCHF) composite film prepared by vacuum-assisted self-assembly was utilized as the N-type photothermal layer, and the PEDOT:PSS/PET film was utilized as the P-type thermal-expansion layer. Based on the thermoelectric and electronegative properties of the MCHF composite film, we propose two strategies to combine the light-driven actuation mechanism with the photo-thermoelectric effect (PTE) and triboelectric effect to endow the light-driven actuator perception capabilities. Based on the PTE effect, the MCHF-based bilayer film can be directly utilized as a PTE generator (Seebeck coefficient of 23.3 μV K−1) to simultaneously achieve light-driven actuation and self-powered relative-temperature perception. When utilized as a triboelectric electrode (maximum output voltage of 144.7 V), the MCHF layer can trigger the triboelectric effect with the actuation force of the light-driven actuator, thus realizing self-powered material perception. Finally, we demonstrated an intelligent gripper capable of synergizing light-driven actuation and self-powered multi-modal perception by compactly integrating these two strategies, which can recognize susceptible signals accurately (accuracy of 98 %) with the assistance of a neural network. This work is promising to facilitate the intelligent interaction of Ti3C2Tx MXene-based soft robots with variable environments. © 2024 Elsevier Ltd

Keyword:

Grippers Human robot interaction Intelligent robots Multilayer neural networks Nanocomposite films Titanium dioxide Triboelectricity

Community:

  • [ 1 ] [Zhou, Jiahao]Institute of Biology and Chemistry, Fujian University of Technology, Fuzhou; 350118, China
  • [ 2 ] [Chen, Huamin]Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences, Beijing; 100083, China
  • [ 3 ] [Chen, Huamin]Fujian Key Laboratory of Functional Marine Sensing Materials Minjiang University Fuzhou, 350108, China
  • [ 4 ] [Wu, Zhihao]College of Computer and Data Science, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Zhou, Peidi]Institute of Smart Marine and Engineering, Fujian University of Technology, Fuzhou, Fujian; 350118, China
  • [ 6 ] [You, Minghua]Institute of Biology and Chemistry, Fujian University of Technology, Fuzhou; 350118, China
  • [ 7 ] [Zheng, Chan]Institute of Biology and Chemistry, Fujian University of Technology, Fuzhou; 350118, China
  • [ 8 ] [Guo, Qiaohang]School of Materials Science and Engineering, Fujian University of Technology, Fuzhou; 350118, China
  • [ 9 ] [Li, Zhou]Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences, Beijing; 100083, China
  • [ 10 ] [Weng, Mingcen]Institute of Biology and Chemistry, Fujian University of Technology, Fuzhou; 350118, China

Reprint 's Address:

  • [chen, huamin]fujian key laboratory of functional marine sensing materials minjiang university fuzhou, 350108, china;;[chen, huamin]beijing institute of nanoenergy and nanosystems chinese academy of sciences, beijing; 100083, china;;

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Source :

Nano Energy

ISSN: 2211-2855

Year: 2025

Volume: 134

1 6 . 8 0 0

JCR@2023

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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