Bioinspired Soft Robotics: How Do We Learn From Creatures?

被引：18
作者：
Yang, Yang [1 ,2 ,3 ]
He, Zhiguo [2 ,4 ]
Jiao, Pengcheng [2 ]
Ren, Hongliang [1 ,3 ,5 ]
机构：
[1] Chinese Univ Hong Kong, Fac Engn, Dept Elect Engn, Hong Kong 999077, Peoples R China
[2] Zhejiang Univ, Ocean Coll, Inst Port Coastal & Offshore Engn, Zhoushan 316021, Zhejiang, Peoples R China
[3] Natl Univ Singapore, Dept Biomed Engn BME, Singapore 119077, Singapore
[4] Zhejiang Univ, Hainan Inst, Sanya 572000, Hainan, Peoples R China
[5] Chinese Univ Hong Kong CUHK, Shun Hing Inst Adv Engn, Hong Kong 999077, Peoples R China
来源：
IEEE REVIEWS IN BIOMEDICAL ENGINEERING | 2024年 / 17卷
关键词：
Soft robotics; bioinspirations; materials; SELF; ACTUATORS; SHAPE; SURGERY; DRIVEN; ELASTICITY; DESIGN; SKIN;
D O I：
10.1109/RBME.2022.3210015
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creatures to design and apply soft robots, in this Review, we propose a classification method to summarize soft robots based on different functions of biological systems: self-growing, self-healing, self-responsive, and self-circulatory. The bio-function based classification logic is presented to explain why we learn from creatures. State-of-art technologies, characteristics, pros, cons, challenges, and potential applications of these categories are analyzed to illustrate what we learned from creatures. By intersecting these categories, the existing and potential bio-inspired applications are overviewed and outlooked to finally find the answer, that is, how we learn from creatures.
引用
收藏
页码：153 / 165
页数：13
相关论文
共 168 条
  • [1] Abercrombie M., 2017, DICT BIOL
  • [2] Hydraulically amplified self-healing electrostatic actuators with muscle-like performance
    Acome, E.
    Mitchell, S. K.
    Morrissey, T. G.
    Emmett, M. B.
    Benjamin, C.
    King, M.
    Radakovitz, M.
    Keplinger, C.
    [J]. SCIENCE, 2018, 359 (6371) : 61 - 65
  • [3] Bioinspired Design of Light-Powered Crawling, Squeezing, and Jumping Untethered Soft Robot
    Ahn, Chihyung
    Liang, Xudong
    Cai, Shengqiang
    [J]. ADVANCED MATERIALS TECHNOLOGIES, 2019, 4 (07)
  • [4] Al-Fahaam H, 2016, 2016 INTERNATIONAL CONFERENCE FOR STUDENTS ON APPLIED ENGINEERING (ICSAE), P491, DOI 10.1109/ICSAE.2016.7810241
  • [5] Al-Ibadi A., 2018, Robotics, V7, P1
  • [6] An Electrostatic/Gecko-Inspired Adhesives Soft Robotic Gripper
    Alizadehyazdi, Vahid
    Bonthron, Michael
    Spenko, Matthew
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (03): : 4679 - 4686
  • [7] From the elastica compass to the elastica catapult: an essay on the mechanics of soft robot arm
    Armanini, C.
    Dal Corso, F.
    Misseroni, D.
    Bigoni, D.
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2017, 473 (2198):
  • [8] Electrolytic vascular systems for energy-dense robots
    Aubin, Cameron A.
    Choudhury, Snehashis
    Jerch, Rhiannon
    Archer, Lynden A.
    Pikul, James H.
    Shepherd, Robert F.
    [J]. NATURE, 2019, 571 (7763) : 51 - +
  • [9] Natural orifice translumenal endoscopic surgery (NOTES®): a technical review
    Auyang, Edward D.
    Santos, Byron F.
    Enter, Daniel H.
    Hungness, Eric S.
    Soper, Nathaniel J.
    [J]. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2011, 25 (10): : 3135 - 3148
  • [10] Hydrogel Actuators and Sensors for Biomedical Soft Robots: Brief Overview with Impending Challenges
    Banerjee, Hritwick
    Suhail, Mohamed
    Ren, Hongliang
    [J]. BIOMIMETICS, 2018, 3 (03)
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