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Bioinspired and biohybrid soft robots: Principles and emerging technologies

  • Zhengkun Chen
  • , Jiafan Chen
  • , Sohyun Jung
  • , Ho Young Kim
  • , Matteo Lo Preti
  • , Cecilia Laschi
  • , Ziyu Ren
  • , Metin Sitti
  • , Robert J. Full
  • , Guang Zhong Yang*
  • *此作品的通讯作者
  • Shanghai Jiao Tong University
  • Daegu Gyeongbuk Institute of Science and Technology
  • Seoul National University
  • National University of Singapore
  • Sant'Anna School of Advanced Studies
  • Koc University
  • University of California at Berkeley

科研成果: 期刊稿件文献综述同行评审

摘要

Soft robots have drawn increasing attention due to their inherent flexibility, deformability, and adaptability. The natural world, with its evolutionary refinement, presents the best source of inspiration for building soft robots. Creatures with sophisticated soft bodies and delicate mechanisms can be ideal biological models. This perspective focuses on bioinspired and biohybrid soft robots, providing a comprehensive review of the latest research in this area. We introduce the state-of-the-art principles of soft robots according to actuation, material selection, and sensing techniques. Based on biological classification methods used in nature, current research progress on biomimetic soft robots in animals, plants, and microorganisms is described. Emerging areas of interests are also highlighted for different biological species. Additionally, this paper explores the potential application areas of soft robots across various domains, outlining future challenges and ongoing developments.

源语言英语
文章编号102045
期刊Matter
8
4
DOI
出版状态已出版 - 2 4月 2025

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