3D‐Printed Dynamic Liquid Crystal Elastomer Composites with Adaptive Reconfiguration Showing Multimodal, Light‐Driven, Strider‐Inspired Locomotion at the Air–Water Interface

C Chun Zhang J Jialong Lu (Institute for Advanced Study Chengdu University Sichuan China) S Shuang Fu J Junpeng Cheng (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) R Reyihanguli Muhetaer (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) T Tongzhi Zang (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) G Guoxia Fei (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) K Kun Yang J Jian Wang L Li Yang Q Qingyuan Wang (Department of Physics) X Xili Lu (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) H Hesheng Xia (State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China) Y Yue Zhao

Abstract

ABSTRACT Inspired by the environment‐adaptive behaviors of water striders, we 3D‐printed a light‐driven liquid crystal elastomer (LCE) swimming robot, OptiLCE Strider, capable of multimodal locomotion and adaptive reconfiguration at the air–water interface. Utilizing carbon nanotubes (CNTs) as photothermal fillers and dynamic disulfide bonds for shape reconfigurability, the robot exhibits three distinct propulsion modes: Marangoni‐effect‐driven continuous motion under low light intensity (1.3–7.2 mm s − 1 ), steam‐wave‐induced pulsatile locomotion under high light intensity (12.5–16.8 mm s − 1 ), and flapping propulsion enabled by reversible LCE deformation (4.6–6.9 mm s − 1 ). The dynamic disulfide bonds enable exceptional structural reconfigurability and environmental adaptability for the LCE robot to execute complex tasks, including maze navigation, cargo capture/transport, programmable rotation, and light‐powered jumping (escape from grounded or obstructed states via actuation energy storage/release, with jumping height/distance 6×/3.3× the robot length). The qualitative phase map guides locomotion mode selection, while energetic cost analysis reveals a clear force‐efficiency trade off among the three modes, guiding application specific selection. This study highlights the potential of dynamic LCE‐based robots for intelligent systems in liquid interface environments, paving the way for versatile applications in soft robotics and biomimetic engineering.

Article Details

Volume / Issue Vol. 38, Issue 24
Published April 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (14)

C

Chun Zhang

J

Jialong Lu

Institute for Advanced Study Chengdu University Sichuan China

S

Shuang Fu

J

Junpeng Cheng

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

R

Reyihanguli Muhetaer

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

T

Tongzhi Zang

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

G

Guoxia Fei

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

K

Kun Yang

J

Jian Wang

L

Li Yang

Q

Qingyuan Wang

Department of Physics

X

Xili Lu

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

H

Hesheng Xia

State Key Laboratory of Advanced Polymer Materials Polymer Research Institute Sichuan University Chengdu China

Y

Yue Zhao