A novel soft end effector with active palm and fingertips for robotic picking

被引:2
作者
Guo, Canzhi [1 ]
Zhang, Song [1 ]
Yang, Yu [1 ]
Cheng, Guanggui [1 ,2 ]
Ding, Jianning [1 ]
机构
[1] Jiangsu Univ, Inst Intelligent Flexible Mechatron, Zhenjiang, Peoples R China
[2] Jiangsu Univ, Inst Intelligent Flexible Mechatron, Zhenjiang 212013, Peoples R China
基金
中国国家自然科学基金;
关键词
Soft end effector; soft robot; robotic gripper; vacuum actuation; dexterous hand; GRIPPER; ACTUATORS; DESIGN;
D O I
10.1177/09544062221144548
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Designing a type of dexterous soft end effector is the premise to guarantee the working efficiency of a picking robot. For the practical needs of grasping flat objects on the table and unscrewing the bottle cap, we have refined the advantages of traditional soft grippers and designed a novel two-finger soft end effector with active palm and also with two active fingertips. The bending of the fingers actuated by vacuum, the palm and fingertips are driven by motors. Three grasping strategies are developed for the active fingertips so that the gripper can not only grasp flat objects on the tabletop, but also unscrew a cap of a bottle. Further, benefit from the active palm and the high stiffness design method of the finger skeleton, two working modes, pinching mode and grasping mode, have been developed for the gripper. The end effector achieves a maximum grasping force of 32 N in the horizontal direction and 28 N in the vertical direction under the air pressure of -90 kPa. The working angle of the fingers is 0 degrees-120 degrees. The size of the object can be grasped ranges from 0 to 200 mm in diameter. Performance verification experiment shows that the active fingertips play an important role in helping the gripper grasp thin objects such as credit cards and printing papers. Grasping experiments on different objects demonstrate that the active fingertips design significantly enhances the flexibility of the gripper and the application it can empower the manipulator.
引用
收藏
页码:3035 / 3046
页数:12
相关论文
共 43 条
  • [1] 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
  • [2] Fin Ray (R) Effect Inspired Soft Robotic Gripper: From the RoboSoft Grand Challenge toward Optimization
    Crooks, Whitney
    Vukasin, Gabrielle
    O'Sullivan, Maeve
    Messner, William
    Rogers, Chris
    [J]. FRONTIERS IN ROBOTICS AND AI, 2016, 3
  • [3] Deimel R., 2014, P ROB SCI SYST BERK, V35, P161
  • [4] Application-Driven Design of Soft, 3-D Printed, Pneumatic Actuators With Bellows
    Drotman, Dylan
    Ishida, Michael
    Jadhav, Saurabh
    Tolley, Michael T.
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (01) : 78 - 87
  • [5] A Novel Fabric-Based Versatile and Stiffness-Tunable Soft Gripper Integrating Soft Pneumatic Fingers and Wrist
    Fei, Yanqiong
    Wang, Jiangbei
    Pang, Wu
    [J]. SOFT ROBOTICS, 2019, 6 (01) : 1 - 20
  • [6] Grasp Mode and Compliance Control of an Underactuated Origami Gripper Using Adjustable Stiffness Joints
    Firouzeh, Amir
    Paik, Jamie
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2017, 22 (05) : 2165 - 2173
  • [7] An under-actuated origami gripper with adjustable stiffness joints for multiple grasp modes
    Firouzeh, Amir
    Paik, Jamie
    [J]. SMART MATERIALS AND STRUCTURES, 2017, 26 (05)
  • [8] Neural Network Control of a Two-Link Flexible Robotic Manipulator Using Assumed Mode Method
    Gao, Hejia
    He, Wei
    Zhou, Chen
    Sun, Changyin
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 755 - 765
  • [9] Novel Bending and Helical Extensile/Contractile Pneumatic Artificial Muscles Inspired by Elephant Trunk
    Guan, Qinghua
    Sun, Jian
    Liu, Yanju
    Wereley, Norman M.
    Leng, Jinsong
    [J]. SOFT ROBOTICS, 2020, 7 (05) : 597 - 614
  • [10] Reinforcement Learning Control of a Flexible Two-Link Manipulator: An Experimental Investigation
    He, Wei
    Gao, Hejia
    Zhou, Chen
    Yang, Chenguang
    Li, Zhijun
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (12): : 7326 - 7336