Intelligent sensory systems toward soft robotics

被引:7
|
作者
Luo, Zhongbao [1 ,2 ]
Cheng, Weiqi [1 ,2 ]
Zhao, Tianyu [1 ,2 ]
Xiang, Nan [1 ,2 ]
机构
[1] Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
[2] Southeast Univ, Jiangsu Key Lab Design & Manufacture Micronano Bio, Nanjing 211189, Peoples R China
基金
中国国家自然科学基金;
关键词
Soft sensor; Soft robotic; Functional materials; AI technology; Self-powered device; ELECTRONIC SKIN; TRIBOELECTRIC NANOGENERATOR; RECENT PROGRESS; PRESSURE; TACTILE; ELASTOMERS; STRAIN; MANIPULATION; ACTUATORS; NETWORKS;
D O I
10.1016/j.apmt.2024.102122
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Soft robots have gained significant attention owing to their intrinsically safe and elastic structure. However, merely ensuring safety at the material and structural levels is just the first step toward intelligent soft robots. The true potential lies in effectively integrating soft sensing technology into their construction. A humanlike sensory organ is crucial for establishing an effective connection between humans, robots, and their environment, enabling the exploration of unknown cues and facilitating interactive behaviors. In this review, we address the challenges of integrating sensory systems with soft robots, encompassing the design of complex sensing units and skins, handling large data volumes from various sources, and establishing suitable energy sources. We advocate a multidisciplinary approach to develop autonomous, intelligent soft robots that align with the unique properties of softness. Finally, we explore how sensory-equipped soft robots excel in environmental recognition and proprioceptive processes, enabling them to tackle complex challenges in diverse application scenarios.
引用
收藏
页数:18
相关论文
共 50 条
  • [42] Intelligent Control Technique for Autonomous Collective Robotics Systems
    Akzhalova, Assel
    Kornev, Anatoly
    Mukharsky, Dmitry
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 1302 - 1309
  • [43] Robotics and Intelligent Systems for Social and Behavioral Science Undergraduates
    Armstrong, Tom
    ITICSE 2010: PROCEEDINGS OF THE 2010 ACM SIGCSE ANNUAL CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, 2010, : 194 - 198
  • [44] Photodeformable Liquid Crystalline Polymers Containing Functional Additives: Toward Photomanipulatable Intelligent Soft Systems
    Huang, Shuai
    Huang, Yinliang
    Li, Quan
    SMALL STRUCTURES, 2021, 2 (09):
  • [45] Moving toward Soft Robotics: A Decade Review of the Design of Hand Exoskeletons
    Shahid, Talha
    Gouwanda, Darwin
    Nurzaman, Surya G.
    Gopalai, Alpha A.
    BIOMIMETICS, 2018, 3 (03)
  • [46] Soft computing and advances in intelligent systems
    Batyrshin, Ildar
    Gomide, Fernando
    Kreinovich, Vladik
    Shahbazovad, Shahnaz
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 43 (06) : 6895 - 6896
  • [47] Making hardware soft in intelligent systems
    Torresen, Jim
    Glette, Kyrre
    2007 ECSIS SYMPOSIUM ON BIO-INSPIRED, LEARNING, AND INTELLIGENT SYSTEMS FOR SECURITY, PROCEEDINGS, 2007, : 87 - +
  • [48] Recent Advances in Liquid Metal Manipulation toward Soft Robotics and Biotechnologies
    Yu, Yue
    Miyako, Eijiro
    CHEMISTRY-A EUROPEAN JOURNAL, 2018, 24 (38) : 9456 - 9462
  • [49] TOWARD A SOFT COMPUTING INTEGRATED INTELLIGENT DESIGN FRAMEWORK
    Zha, Xuan F.
    ICED 09 - THE 17TH INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, VOL 6: DESIGN METHODS AND TOOLS, PT 2, 2009, : 439 - 450
  • [50] Integrated Actuation and Sensing: Toward Intelligent Soft Robots
    Zhou, Shuai
    Li, Yuanhang
    Wang, Qianqian
    Lyu, Zhiyang
    CYBORG AND BIONIC SYSTEMS, 2024, 5