Human-muscle-inspired single fibre actuator with reversible percolation.

Journal: Nature nanotechnology
Published Date:

Abstract

Artificial muscles are indispensable components for next-generation robotics capable of mimicking sophisticated movements of living systems. However, an optimal combination of actuation parameters, including strain, stress, energy density and high mechanical strength, is required for their practical applications. Here we report mammalian-skeletal-muscle-inspired single fibres and bundles with large and strong contractive actuation. The use of exfoliated graphene fillers within a uniaxial liquid crystalline matrix enables photothermal actuation with large work capacity and rapid response. Moreover, the reversible percolation of graphene fillers induced by the thermodynamic conformational transition of mesoscale structures can be in situ monitored by electrical switching. Such a dynamic percolation behaviour effectively strengthens the mechanical properties of the actuator fibres, particularly in the contracted actuation state, enabling mammalian-muscle-like reliable reversible actuation. Taking advantage of a mechanically compliant fibre structure, smart actuators are readily integrated into strong bundles as well as high-power soft robotics with light-driven remote control.

Authors

  • In Ho Kim
    Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Subi Choi
    Department of Polymer Science and Engineering, Pusan National University, Busan, Republic of Korea.
  • Jieun Lee
    Department of Pediatrics, Inje University College of Medicine, Ilsan Paik Hospital, Goyang, Republic of Korea.
  • Jiyoung Jung
    Department of Artificial Intelligence, University of Seoul, Seoul 02504, Korea.
  • Jinwook Yeo
    Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Jun Tae Kim
    Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Seunghwa Ryu
    Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Suk-Kyun Ahn
    Department of Polymer Science and Engineering, Pusan National University, Busan, Republic of Korea.
  • Jiheong Kang
    Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Philippe Poulin
    Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada. Electronic address: Philippe.Poulin2@Usherbrooke.ca.
  • Sang Ouk Kim
    Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. sangouk.kim@kaist.ac.kr.