Stiffness-tunable velvet worm-inspired soft adhesive robot.

Journal: Science advances
PMID:

Abstract

Considering the characteristics and operating environment of remotely controlled miniature soft robots, achieving delicate adhesion control over various target surfaces is a substantial challenge. In particular, the ability to delicately grasp wrinkled and soft biological and nonbiological surfaces with low preload without causing damage is essential. The proposed adhesive robotic system, inspired by the secretions from a velvet worm, uses a structured magnetorheological material that exhibits precise adhesion control with stability and repeatability by the rapid stiffness change controlled by an external magnetic field. The proposed adhesion protocol involves controlling soft-state adhesion, maintaining a large contact area, and enhancing the elastic modulus, and the mechanical structure enhances the effectiveness of this protocol. Demonstrations of the remote adhesive robot include stable transportation in soft and wet organs, unscrewing a nut from a bolt, and supporting mouse tumor removal surgery. These results indicate the potential applicability of the soft adhesive robot in biomedical engineering, especially for targeting small-scale biological tissues and organisms.

Authors

  • Hyeongho Min
  • Daebeom Bae
    Department of Electronics and Information Engineering, Korea University, 30019 Sejong, Republic of Korea.
  • Siyeon Jang
    Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
  • Sangmin Lee
    Department of Electronic Engineering, Inha University, Incheon 22212, Korea.
  • Myungjin Park
    Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
  • Cem Balda Dayan
    Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
  • Jiwoong Choi
    Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA.
  • Keungyonh Bak
    Department of Electronics and Information Engineering, Korea University, 30019 Sejong, Republic of Korea.
  • Yoosoo Yang
    Medicinal Materials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, 02792 Seoul, Republic of Korea.
  • Sungwoo Chun
    Department of Electronics and Computer Engineering, Hanyang University, Seoul, 04763, South Korea. wanjun@hanyang.ac.kr.
  • Metin Sitti