Bio-inspired multimodal soft actuator with environmental self-adaptation

C Chi Chen (Future Photovoltaic Research Center, Global Institute of Future Technology) Z Zixiao Liu P Pengju Shi Y Yusen Zhao S Sidi Duan Y Yingjie Du Y Yichen Yan (School of Molecular Sciences) M Muqing Si T Tetsuya Iwasaki X Ximin He

Abstract

Abstract Autonomous soft robots with built-in feedback can achieve self-sustained motion under constant, untethered stimuli. However, these systems are constrained to single-mode actuation within a fixed structure under the same type of stimulus and require human intervention to switch modes, lacking the robust and efficient self-adaptation of living organisms in changing environments. Inspired by Gymnura micrura, we developed a light-responsive soft actuator with engineered asymmetry and a dynamic structure, integrating two distinct built-in feedback mechanisms governed by intrinsic bifurcation. Thus, the actuator can seamlessly switch between three different motion modes—tracking, undulation, and oscillation—exhibiting self-adaptation to environmental changes (e.g., light intensity, viscosity, temperatures, and physical contact). Furthermore, this multimodal capability facilitates unique environmental interactions, expanding applications beyond locomotion to include fluid dynamics, electronics, and environmental monitoring. Such an advancement in physical intelligence represents a pivotal step toward next-generation autonomous soft robotic systems, unlocking higher-level autonomy and unprecedented adaptive behaviors.

Article Details

Volume / Issue Vol. 16, Issue 1
Published August 15, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (10)

C

Chi Chen

Future Photovoltaic Research Center, Global Institute of Future Technology

Z

Zixiao Liu

P

Pengju Shi

Y

Yusen Zhao

S

Sidi Duan

Y

Yingjie Du

Y

Yichen Yan

School of Molecular Sciences

M

Muqing Si

T

Tetsuya Iwasaki

X

Ximin He