Author
Listed:
- Chi Chen
(Department of Material Science and Engineering, University of California)
- Zixiao Liu
(Department of Material Science and Engineering, University of California)
- Pengju Shi
(Department of Material Science and Engineering, University of California)
- Yusen Zhao
(Department of Material Science and Engineering, University of California)
- Sidi Duan
(Department of Material Science and Engineering, University of California)
- Yingjie Du
(Department of Material Science and Engineering, University of California)
- Yichen Yan
(Department of Material Science and Engineering, University of California)
- Muqing Si
(Department of Material Science and Engineering, University of California)
- Tetsuya Iwasaki
(Department of Mechanical and Aerospace Engineering, University of California)
- Ximin He
(Department of Material Science and Engineering, University of California)
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.
Suggested Citation
Chi Chen & Zixiao Liu & Pengju Shi & Yusen Zhao & Sidi Duan & Yingjie Du & Yichen Yan & Muqing Si & Tetsuya Iwasaki & Ximin He, 2025.
"Bio-inspired multimodal soft actuator with environmental self-adaptation,"
Nature Communications, Nature, vol. 16(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62328-2
DOI: 10.1038/s41467-025-62328-2
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