Compliant gripper design, prototyping, and modeling using screw theory formulation

被引:39
作者
Hussain, Irfan [1 ,2 ]
Malvezzi, Monica [3 ]
Gan, Dongming [1 ]
Iqbal, Zubair [3 ]
Seneviratne, Lakmal [1 ]
Prattichizzo, Domenico [3 ,4 ]
Renda, Federico [1 ,2 ]
机构
[1] Khalifa Univ Sci & Technol, Khalifa Univ Ctr Autonomous Robot Syst KUCARS, POB 127788, Abu Dhabi, U Arab Emirates
[2] Khalifa Univ Sci & Technol, Dept Mech Engn, Abu Dhabi, U Arab Emirates
[3] Univ Siena, Dept Informat Engn, Siena, Italy
[4] Ist Italiano Tecnol, Genoa, Italy
关键词
Screw theory; soft grippers; passive stiffness; soft-rigid fingers; SOFT ROBOT ARM; SIMULATION; HANDS; MOTION;
D O I
10.1177/0278364920947818
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This article investigates some aspects related to the design, modeling, prototyping, and testing of soft-rigid tendon-driven grippers. As a case study, we present the design and development of a two-finger soft gripper and exploit it as an example to demonstrate the application scenario of our mathematical model based on screw theory. A mathematical formulation based on screw theory is then presented to model gripper dynamics. The proposed formulation is the extension of a model previously introduced including the mechanical system dynamics. In this type of gripper, it is possible to achieve different behaviors, e.g., different fingertip trajectories, equivalent fingertip stiffness ellipsoids, etc., while keeping the same kinematic structure of the gripper and varying the properties of its passive deformable joints. These properties can be varied in the prototype by properly regulating some manufacturing parameters, such as percentage of printing infill density in a 3D printing process. We performed experiments with the prototype of the gripper and an optical tracking system to validate the proposed mathematical formulation, and to compare its results with other simplified formulations. We furthermore identified the main performance of the gripper in terms of payload and maximum horizontal resisted force, and verified the capabilities of the gripper to grasp objects with different shapes and weights.
引用
收藏
页码:55 / 71
页数:17
相关论文
共 46 条
[1]  
[Anonymous], 1993, A Mathematical Introduction to Robotic Manipulation
[2]  
[Anonymous], 2008, Handbook on Robotics, DOI DOI 10.1007/978-3-540-30301-5_29
[3]   Multibody modelling of N DOF robot arm assigned to milling manufacturing. Dynamic analysis and position errors evaluation [J].
Baglioni, Stefano ;
Cianetti, Filippo ;
Braccesi, Claudio ;
De Micheli, Denis Mattia .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2016, 30 (01) :405-420
[4]   Dimensional synthesis of three-fingered robot hands for maximal precision manipulation workspace [J].
Borras, Julia ;
Dollar, Aaron M. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2015, 34 (14) :1731-1746
[5]   Poincar,'s Equations for Cosserat Media: Application to Shells [J].
Boyer, Frederic ;
Renda, Federico .
JOURNAL OF NONLINEAR SCIENCE, 2017, 27 (01) :1-44
[6]  
Brockett R. W., 1984, Lecture Notes in Control and Information Sciences, P120, DOI DOI 10.1007/BFB0031048
[7]  
Bullo F., 1995, Proceedings of the Third European Control Conference. ECC 95, P1091
[8]  
Butterfass J, 2001, IEEE INT CONF ROBOT, P109, DOI 10.1109/ROBOT.2001.932538
[9]   Adaptive synergies for the design and control of the Pisa/IIT SoftHand [J].
Catalano, M. G. ;
Grioli, G. ;
Farnioli, E. ;
Serio, A. ;
Piazza, C. ;
Bicchi, A. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (05) :768-782
[10]   Data-driven Optimization for Underactuated Robotic Hands [J].
Ciocarlie, Matei ;
Allen, Peter .
2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, :1292-1299