A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date: Jan 24, 2022

Abstract

Research field of soft robotics develops exponentially since it opens up many imaginations, such as human-interactive robot, wearable robots, and transformable robots in unpredictable environments. Wet environments such as sea and in vivo represent dynamic and unstructured environments that adaptive soft robots can reach their potentials. Recent progresses in soft hybridized robotics performing tasks underwater herald a diversity of interactive soft robotics in wet environments. Here, the development of soft robots in wet environments is reviewed. The authors recapitulate biomimetic inspirations, recent advances in soft matter materials, representative fabrication techniques, system integration, and exemplary functions for underwater soft robots. The authors consider the key challenges the field faces in engineering material, software, and hardware that can bring highly intelligent soft robots into real world.

Authors

  • Jielun Fang
    College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518000, China.
  • Yanfeng Zhuang
    Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, Guangdong, 518000, China.
  • Kailang Liu
    College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518000, China.
  • Zhuo Chen
    State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Huaxi District, Guiyang 550025, China. Electronic address: gychenzhuo@aliyun.com.
  • Zhou Liu
    Department of Radiology, National Cancer Center/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
  • Tiantian Kong
    Xinjiang Key Laboratory of Neurological Disorder Research, the Second Affiliated Hospital of Xinjiang Medical University, Urumqi, 830063, China. 123457417@qq.com.
  • Jianhong Xu
    The State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
  • Cheng Qi
    College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518000, China.

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