Advanced Design of Soft Robots with Artificial Intelligence

被引:9
作者
Cao, Ying [1 ]
Xu, Bingang [1 ]
Li, Bin [3 ]
Fu, Hong [2 ]
机构
[1] Hong Kong Polytech Univ, Nanotechnol Ctr, Sch Fash & Text, Hong Kong 999077, Peoples R China
[2] Educ Univ Hong Kong, Dept Math & Informat Technol, Hong Kong 999077, Peoples R China
[3] Xi An Jiao Tong Univ, Bioinspired Engn & Biomech Ctr, Xian 710049, Peoples R China
关键词
Soft robotic systems; Artificial intelligence; Design tactics; Review and perspective; STRAIN-INDUCED CRYSTALLIZATION; CONVOLUTIONAL NEURAL-NETWORKS; THERMODYNAMIC DESCRIPTION; RESILIENT MACHINES; TACTILE SENSORS; NATURAL-RUBBER; DRUG-DELIVERY; FABRICATION; ACTUATORS; DEFORMATION;
D O I
10.1007/s40820-024-01423-3
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
A comprehensive review focused on the whole systems of the soft robotics with artificial intelligence, which can feel, think, react and interact with humans, is presented. The design strategies concerning about various aspects of the soft robotics, like component materials, device structures, prepared technologies, integrated method, and potential applications, are summarized. A broad outlook on the future considerations for the soft robots is proposed. In recent years, breakthrough has been made in the field of artificial intelligence (AI), which has also revolutionized the industry of robotics. Soft robots featured with high-level safety, less weight, lower power consumption have always been one of the research hotspots. Recently, multifunctional sensors for perception of soft robotics have been rapidly developed, while more algorithms and models of machine learning with high accuracy have been optimized and proposed. Designs of soft robots with AI have also been advanced ranging from multimodal sensing, human-machine interaction to effective actuation in robotic systems. Nonetheless, comprehensive reviews concerning the new developments and strategies for the ingenious design of the soft robotic systems equipped with AI are rare. Here, the new development is systematically reviewed in the field of soft robots with AI. First, background and mechanisms of soft robotic systems are briefed, after which development focused on how to endow the soft robots with AI, including the aspects of feeling, thought and reaction, is illustrated. Next, applications of soft robots with AI are systematically summarized and discussed together with advanced strategies proposed for performance enhancement. Design thoughts for future intelligent soft robotics are pointed out. Finally, some perspectives are put forward.
引用
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页数:48
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共 242 条
  • [31] Fang GX, 2022, IEEE-ASME T MECH, V27, P5296, DOI [10.1109/TMECH.2022.3178303, 10.1109/IECON49645.2022.9968639]
  • [32] Felfoul O, 2016, NAT NANOTECHNOL, V11, P941, DOI [10.1038/nnano.2016.137, 10.1038/NNANO.2016.137]
  • [33] Thermodynamics of high polymer solutions
    Flory, PJ
    [J]. JOURNAL OF CHEMICAL PHYSICS, 1941, 9 (08) : 660 - 661
  • [34] ChatGPT saves the day
    Francl, Michelle
    [J]. NATURE CHEMISTRY, 2023, 15 (07) : 890 - 891
  • [35] Flexible Optical Fiber Bending Transducer for Application in Glove-Based Sensors
    Fujiwara, Eric
    Ferreira, Murilo
    dos Santos, Marques
    Suzuki, Carlos K.
    [J]. IEEE SENSORS JOURNAL, 2014, 14 (10) : 3631 - 3636
  • [36] ChatGPT outperforms crowd workers for text-annotation tasks
    Gilardi, Fabrizio
    Alizadeh, Meysam
    Kubli, Mael
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 120 (30)
  • [37] DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
    Gomez-de-Mariscal, Estibaliz
    Garcia-Lopez-de-Haro, Carlos
    Ouyang, Wei
    Donati, Laurene
    Lundberg, Emma
    Unser, Michael
    Munoz-Barrutia, Arrate
    Sage, Daniel
    [J]. NATURE METHODS, 2021, 18 (10) : 1192 - +
  • [38] A wearable and highly sensitive pressure sensor with ultrathin gold nanowires
    Gong, Shu
    Schwalb, Willem
    Wang, Yongwei
    Chen, Yi
    Tang, Yue
    Si, Jye
    Shirinzadeh, Bijan
    Cheng, Wenlong
    [J]. NATURE COMMUNICATIONS, 2014, 5
  • [39] Soft Robotics Enables Neuroprosthetic Hand Design
    Gu, Guoying
    Zhang, Ningbin
    Chen, Chen
    Xu, Haipeng
    Zhu, Xiangyang
    [J]. ACS NANO, 2023, 17 (11) : 9661 - 9672
  • [40] RETRACTED: 3D printed highly flexible strain sensor based on TPU-graphene composite for feedback from high speed robotic applications (Retracted Article)
    Gul, Jahan Zeb
    Sajid, Memoon
    Choi, Kyung Hyun
    [J]. JOURNAL OF MATERIALS CHEMISTRY C, 2019, 7 (16) : 4692 - 4701