A Review of Somatic Design for Soft Robotic Grippers: From Parts Integration to Functional Synergy

被引:0
|
作者
Xu, Zhidong [1 ]
Shi, Peipei [1 ]
Yan, Jihong [1 ,2 ]
Zhao, Jie [1 ]
机构
[1] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150001, Heilongjiang, Peoples R China
[2] Harbin Inst Technol, Lab Space Environm & Phys Sci, Harbin 150001, Heilongjiang, Peoples R China
关键词
coupling enhancement; embodied intelligence; functional synergy; soft robotic grippers; somatic design; VARIABLE-STIFFNESS; DIELECTRIC ELASTOMERS; HYDROGEL ACTUATORS; POLYMER NETWORKS; STRAIN SENSOR; LOW-VOLTAGE; SHAPE; FABRICATION; MECHANISM; MULTIMATERIAL;
D O I
10.1002/aisy.202300788
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Somatic design is crucial for soft grippers to emulate the embodied intelligence of their biological counterparts, due to the blurry boundaries among material, structure, and function. There are five critical parts in somatic design, including morphology, material, fabrication, actuation, and variable stiffness. The strong nonlinear coupling among these factors often leads to mutual influence and functional compromise after integration. Herein, methods and strategies harnessed in these parts for performance improvement of soft grippers are systematically reviewed, particularly clarifying how to exert the coupling enhancement effects of the somatic parts for functional synergy. Finally, the remaining challenges and the future development directions of soft grippers for organism-like intelligence and wide-range applications are discussed. Somatic design is crucial for soft grippers to emulate the embodied intelligence of their biological counterparts, due to the blurry boundaries among material, structure and function. There are five critical parts in somatic design, including morphology, material, fabrication, actuation, and variable stiffness. The strong nonlinear coupling among these factors often leads to mutual influence and functional compromise after integration. Existing excellent reviews about soft grippers tend to focus more on summarizing and discussing the partial factors of somatic design, and ignore the importance of somatic-part collaborative design. In this review, a systematic somatic design guide that covers all five parts while investigating their functional synergy is provided. The remaining challenges and the future development directions of soft grippers for organism-like intelligence and wide-range applications are discussed.image (c) 2024 WILEY-VCH GmbH
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页数:35
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  • [1] Soft robotic grippers: A review on technologies, materials, and applications
    AboZaid, Yahia A.
    Aboelrayat, Mahmoud T.
    Fahim, Irene S.
    Radwan, Ahmed G.
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2024, 372
  • [2] Soft Robotic Grippers for Crop Handling or Harvesting: A Review
    Elfferich, Johannes F.
    Dodou, Dimitra
    Della Santina, Cosimo
    [J]. IEEE ACCESS, 2022, 10 : 75428 - 75443
  • [3] Design and Fabrication of Flexible Composite Tactile Sensors for Robotic Soft Grippers
    Lv, Jialang
    Luo, Lufeng
    Chen, Jianwen
    Liu, Si
    Chen, Mingyou
    Wang, Jinhai
    Wei, Huiling
    Lu, Qinghua
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (03) : 2482 - 2490
  • [4] Intelligent Soft Robotic Grippers for Agricultural and Food Product Handling: A Brief Review with a Focus on Design and Control
    Liu, Yuxuan
    Hou, Jixin
    Li, Changying
    Wang, Xianqiao
    [J]. ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (12)
  • [5] Modelling and Design of a Synergy-based Actuator for a Tendon-driven Soft Robotic Glove
    Xiloyannis, Michele
    Cappello, Leonardo
    Khanh, Dinh Binh
    Yen, Shih-Cheng
    Masia, Lorenzo
    [J]. 2016 6TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2016, : 1213 - 1219
  • [6] Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound
    Lindenroth, Lukas
    Housden, Richard James
    Wang, Shuangyi
    Back, Junghwan
    Rhode, Kawal
    Liu, Hongbin
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (08) : 2215 - 2229
  • [7] Design and Development of a Multi-Functional Bioinspired Soft Robotic Actuator via Additive Manufacturing
    Kladovasilakis, Nikolaos
    Sideridis, Paschalis
    Tzetzis, Dimitrios
    Piliounis, Konstantinos
    Kostavelis, Ioannis
    Tzovaras, Dimitrios
    [J]. BIOMIMETICS, 2022, 7 (03)
  • [8] Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
    Du, Guoguang
    Wang, Kai
    Lian, Shiguo
    Zhao, Kaiyong
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (03) : 1677 - 1734
  • [9] Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
    Guoguang Du
    Kai Wang
    Shiguo Lian
    Kaiyong Zhao
    [J]. Artificial Intelligence Review, 2021, 54 : 1677 - 1734
  • [10] Microfluidic Fiber Optic Sensors: from Functional Integration to Functional Design (Invited)
    Yuan Tingting
    Zhang Xiaotong
    Yang Xinghua
    Yuan Libo
    [J]. LASER & OPTOELECTRONICS PROGRESS, 2024, 61 (01)