A high-load bioinspired soft gripper with force booster fingers

被引:18
作者
Li, Haili [1 ,2 ]
Zhou, Pan [1 ]
Zhang, Shuai [1 ]
Yao, Jiantao [1 ]
Zhao, Yongsheng [1 ]
机构
[1] Yanshan Univ, Parallel Robot & Mechatron Syst Lab Hebei Prov, 438 Hebei Ave, Qinhuangdao, Peoples R China
[2] Ningbo Univ, Fac Mech Engn & Mech, Ningbo, Peoples R China
基金
中国国家自然科学基金;
关键词
Soft gripper; Soft bending actuator; High load; Force booster finger; PNEUMATIC BENDING ACTUATOR; ROBOTIC GRIPPER; DESIGN; HAND;
D O I
10.1016/j.mechmachtheory.2022.105048
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Significantly improving the load capacity of soft grippers while taking into account their flexibility is a challenge that must be addressed to promote their application in more fields. This work proposes a universal method to equip the tip of soft bending actuators with bioinspired force booster fingers to greatly increase the payload of multi-finger soft grippers. Theoretical modeling expresses the mechanical principle of the proposed soft gripper that can generate high load force, and the relationship between the pull-off force and the inflation pressure of the force booster fingers. Experiments show that the proposed soft gripper composed of four bending soft pneumatic actuators has a maximum grasping force of similar to 1960 N, which is more than 17 times the existing level, and can lift the human body. This work provides a new design idea for the development of soft grippers that have a large payload, which is to equip the tip of soft bending actuators with contact or non-contact force booster devices.
引用
收藏
页数:16
相关论文
共 45 条
  • [1] Design of a Variable Stiffness Soft Dexterous Gripper
    Al Abeach, Loai A. T.
    Nefti-Meziani, Samia
    Davis, Steve
    [J]. SOFT ROBOTICS, 2017, 4 (03) : 274 - 284
  • [2] The Design and Mathematical Model of a Novel Variable Stiffness Extensor-Contractor Pneumatic Artificial Muscle
    Al-Fahaam, Hassanin
    Nefti-Meziani, Samia
    Theodoridis, Theo
    Davis, Steve
    [J]. SOFT ROBOTICS, 2018, 5 (05) : 576 - 591
  • [3] Soft Robotics Commercialization: Jamming Grippers from Research to Product
    Amend, John
    Cheng, Nadia
    Fakhouri, Sami
    Culley, Bill
    [J]. SOFT ROBOTICS, 2016, 3 (04) : 213 - 222
  • [4] A Positive Pressure Universal Gripper Based on the Jamming of Granular Material
    Amend, John R., Jr.
    Brown, Eric
    Rodenberg, Nicholas
    Jaeger, Heinrich M.
    Lipson, Hod
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2012, 28 (02) : 341 - 350
  • [5] Layer-Jamming Suction Grippers With Variable Stiffness
    Bamotra, Abhishek
    Walia, Pushpinder
    Prituja, Avataram Venkatavaradan
    Ren, Hongliang
    [J]. JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2019, 11 (03):
  • [6] Universal robotic gripper based on the jamming of granular material
    Brown, Eric
    Rodenberg, Nicholas
    Amend, John
    Mozeika, Annan
    Steltz, Erik
    Zakin, Mitchell R.
    Lipson, Hod
    Jaeger, Heinrich M.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (44) : 18809 - 18814
  • [7] Additive Manufacture of Composite Soft Pneumatic Actuators
    Byrne, Oisin
    Coulter, Fergal
    Glynn, Mark
    Jones, James F. X.
    Annaidh, Aisling Ni
    O'Cearbhaill, Eoin D.
    Holland, Donal P.
    [J]. SOFT ROBOTICS, 2018, 5 (06) : 726 - 736
  • [8] Yale-CMU-Berkeley dataset for robotic manipulation research
    Calli, Berk
    Singh, Arjun
    Bruce, James
    Walsman, Aaron
    Konolige, Kurt
    Srinivasa, Siddhartha
    Abbeel, Pieter
    Dollar, Aaron M.
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2017, 36 (03) : 261 - 268
  • [9] Design and modeling of a soft robotic surface with hyperelastic material
    Chen, Lisha
    Yang, Chenghao
    Wang, Hua
    Branson, David T.
    Dai, Jian S.
    Kang, Rongjie
    [J]. MECHANISM AND MACHINE THEORY, 2018, 130 : 109 - 122
  • [10] Design and Computational Modeling of a 3D Printed Pneumatic Toolkit for Soft Robotics
    du Pasquier, Cosima
    Chen, Tian
    Tibbits, Skylar
    Shea, Kristina
    [J]. SOFT ROBOTICS, 2019, 6 (05) : 657 - 663