Electromechanical actuation of dielectric liquid crystal elastomers for soft robotics

ORAL

Abstract

Liquid crystal elastomers, networks of anisotropic molecules, are two-way reversible shape memory polymers. They have long been considered as intelligent materials reminiscent of biological muscles with orientational order. Despite significant developments in chemistry, processing, and handling methods of liquid crystal elastomers, most demonstrated actuation mechanisms still rely on thermal or optical stimulation, which often suffers low efficiency of energy conversion into useful work. Here, we report fast and efficient electrical stimulation of liquid crystal elastomer actuators with high output work density for potential soft robotics applications. Different from conventional dielectric elastomers, which often require prestrain, the intrinsic elastic anisotropy in liquid crystal elastomers allows us to design complex patterns of locally aligned liquid crystal molecules. In turn, we demonstrate pre-programmed twisting, bending, and other actuations.

Presenters

  • Zoey S. Davidson

    Physical Intelligence, Max Planck Institute for Intelligent Systems

Authors

  • Zoey S. Davidson

    Physical Intelligence, Max Planck Institute for Intelligent Systems

  • Hamed Shahsavan

    Physical Intelligence, Max Planck Institute for Intelligent Systems

  • Yubing Guo

    Physical Intelligence, Max Planck Institute for Intelligent Systems, Advanced Materials and Liquid Crystal Institute, Kent State University, Kent, Ohio, 44242, USA

  • Lindsey Hines

    Physical Intelligence, Max Planck Institute for Intelligent Systems

  • Yu Xia

    Department of Materials Science and Engineering, University of Pennsylvania, Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA, USA, Chemical and Biological Engineering, Princeton University

  • Shu Yang

    Department of Materials Science and Engineering, University of Pennsylvania, Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA, USA, University of Pennsylvania

  • Metin Sitti

    Physical Intelligence, Max Planck Institute for Intelligent Systems, Physical Intelligence, MPI for Intelligent Systems