机构：[1]Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200336, China[2]Department of Robotics and Mechatronics Engineering, DGIST, Daegu 42988, South Korea[3]Department of Mechanical Engineering, Seoul National University, Seoul 08826, South Korea[4]Advanced Robotics Centre, Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore[5]School of Mechanical Engineering and Automation of Beihang University, Beijing 100191, China[6]School of Medicine and College of Engineering, Koc¸ University, Istanbul 34450, Turkey[7]Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94702, USA[8]BioRobotics Institute, Scuola Superiore Sant’Anna, Italy
Soft robots have drawn increasing attention due to their inherent flexibility, deformability, and adaptability. The natural world, with its evolutionary refinement, presents the best source of inspiration for building soft robots. Creatures with sophisticated soft bodies and delicate mechanisms can be ideal biological models. This perspective focuses on bioinspired and biohybrid soft robots, providing a comprehensive review of the latest research in this area. We introduce the state-of-the-art principles of soft robots according to actuation, material selection, and sensing techniques. Based on biological classification methods used in nature, current research progress on biomimetic soft robots in animals, plants, and microorganisms is described. Emerging areas of interests are also highlighted for different biological species. Additionally, this paper explores the potential application areas of soft robots across various domains, outlining future challenges and ongoing developments.
基金：
National Key R&D Program of China [2022YFB4702700]; Shanghai Key Laboratory of Flexible Medical Robotics [25dz2260100]; Shanghai Municipal Science and Technology Major Proj-ect [2021SHZDZX]
第一作者机构：[1]Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200336, China
通讯作者：
推荐引用方式(GB/T 7714)：
Chen Zhengkun,Chen Jiafan,Jung Sohyun,et al.Bioinspired and biohybrid soft robots: Principles and emerging technologies[J].MATTER.2025,8(4):doi:10.1016/j.matt.2025.102045.
APA：
Chen, Zhengkun,Chen, Jiafan,Jung, Sohyun,Kim, Ho-Young,Lo Preti, Matteo...&Yang, Guang-Zhong.(2025).Bioinspired and biohybrid soft robots: Principles and emerging technologies.MATTER,8,(4)
MLA：
Chen, Zhengkun,et al."Bioinspired and biohybrid soft robots: Principles and emerging technologies".MATTER 8..4(2025)
材料科学