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Octopus-inspired sensorized soft arm for environmental interaction

  • Zhexin Xie
  • , Feiyang Yuan
  • , Jiaqi Liu
  • , Lufeng Tian
  • , Bohan Chen
  • , Zhongqiang Fu
  • , Sizhe Mao
  • , Tongtong Jin
  • , Yun Wang
  • , Xia He
  • , Gang Wang
  • , Yanru Mo
  • , Xilun Ding
  • , Yihui Zhang
  • , Cecilia Laschi
  • , Li Wen*
  • *此作品的通讯作者
  • Beihang University
  • National University of Singapore
  • Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Octopuses can whip their soft arms with a characteristic“bend propagation”motion to capture prey with sensitive suckers. This relatively simple strategy provides models for robotic grasping, controllable with a small number of inputs, and a highly deformable arm with sensing capabilities. Here, we implemented an electronics-integrated soft octopus arm (E-SOAM) capable of reaching, sensing, grasping, and interacting in a large domain. On the basis of the biological bend propagation of octopuses, E-SOAM uses a bending-elongation propagation model to move, reach, and grasp in a simple but efficient way. E-SOAM’s distal part plays the role of a gripper and can process bending, suction, and temperature sensory information under highly deformed working states by integrating a stretchable, liquid-metal–based electronic circuit that can withstand uniaxial stretching of 710% and biaxial stretching of 270% to autonomously perform tasks in a confined environment. By combining this sensorized distal part with a soft arm, the E-SOAM can perform a reaching-grasping-withdrawing motion across a range up to 1.5 times its original arm length, similar to the biological counterpart. Through a wearable finger glove that produces suction sensations, a human can use just one finger to remotely and interactively control the robot’s in-plane and out-of-plane reaching and grasping both in air and underwater. E-SOAM’s results not only contribute to our understanding of the function of the motion of an octopus arm but also provide design insights into creating stretchable electronics-integrated bioinspired autonomous systems that can interact with humans and their environments.

源语言英语
期刊论文编号eadh7852
期刊Science Robotics
卷8
期84
DOI
出版状态已出版 - 29 9月 2023

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