A Modular Geometrical Framework for Modelling the Force-Contraction Profile of Vacuum-Powered Soft Actuators

被引:12
作者
Gollob, Samuel Dutra [1 ]
Park, Clara [1 ]
Koo, Bon Ho Brandon [1 ]
Roche, Ellen T. [1 ,2 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] MIT, Inst Med Engn & Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
soft robotics; numerical model; artificial muscle; virtual work; vacuum-powered soft actuator;
D O I
10.3389/frobt.2021.606938
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this paper, we present a generalized modeling tool for predicting the output force profile of vacuum-powered soft actuators using a simplified geometrical approach and the principle of virtual work. Previous work has derived analytical formulas to model the force-contraction profile of specific actuators. To enhance the versatility and the efficiency of the modelling process we propose a generalized numerical algorithm based purely on geometrical inputs, which can be tailored to the desired actuator, to estimate its force-contraction profile quickly and for any combination of varying geometrical parameters. We identify a class of linearly contracting vacuum actuators that consists of a polymeric skin guided by a rigid skeleton and apply our model to two such actuators-vacuum bellows and Fluid-driven Origami-inspired Artificial Muscles-to demonstrate the versatility of our model. We perform experiments to validate that our model can predict the force profile of the actuators using its geometric principles, modularly combined with design-specific external adjustment factors. Our framework can be used as a versatile design tool that allows users to perform parametric studies and rapidly and efficiently tune actuator dimensions to produce a force-contraction profile to meet their needs, and as a pre-screening tool to obviate the need for multiple rounds of time-intensive actuator fabrication and testing.
引用
收藏
页数:14
相关论文
共 33 条
[1]   Design and Computational Modeling of a Modular, Compliant Robotic Assembly for Human Lumbar Unit and Spinal Cord Assistance [J].
Agarwal, Gunjan ;
Robertson, Matthew A. ;
Sonar, Harshal ;
Paik, Jamie .
SCIENTIFIC REPORTS, 2017, 7
[2]  
Andrikopoulos G., 2011, 2011 19 MED C CONTR, P1439, DOI DOI 10.1109/MED.2011.5982983
[3]   An octopus-bioinspired solution to movement and manipulation for soft robots [J].
Calisti, M. ;
Giorelli, M. ;
Levy, G. ;
Mazzolai, B. ;
Hochner, B. ;
Laschi, C. ;
Dario, P. .
BIOINSPIRATION & BIOMIMETICS, 2011, 6 (03)
[4]   Measurement and modeling of McKibben pneumatic artificial muscles [J].
Chou, CP ;
Hannaford, B .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1996, 12 (01) :90-102
[5]   Mechanical Programming of Soft Actuators by Varying Fiber Angle [J].
Connolly, Fionnuala ;
Polygerinos, Panagiotis ;
Walsh, Conor J. ;
Bertoldi, Katia .
SOFT ROBOTICS, 2015, 2 (01) :26-32
[6]   A novel type of compliant and underactuated robotic hand for dexterous grasping [J].
Deimel, Raphael ;
Brock, Oliver .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2016, 35 (1-3) :161-185
[7]   Design and Computational Modeling of a 3D Printed Pneumatic Toolkit for Soft Robotics [J].
du Pasquier, Cosima ;
Chen, Tian ;
Tibbits, Skylar ;
Shea, Kristina .
SOFT ROBOTICS, 2019, 6 (05) :657-663
[8]  
Felt W, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), P534, DOI 10.1109/ROBOSOFT.2018.8405381
[9]   Vacuum-Powered Soft Pneumatic Twisting Actuators to Empower New Capabilities for Soft Robots [J].
Jiao, Zhongdong ;
Ji, Chen ;
Zou, Jun ;
Yang, Huayong ;
Pan, Min .
ADVANCED MATERIALS TECHNOLOGIES, 2019, 4 (01)
[10]   Hydraulic Autonomous Soft Robotic Fish for 3D Swimming [J].
Katzschmann, Robert K. ;
Marchese, Andrew D. ;
Rus, Daniela .
EXPERIMENTAL ROBOTICS, 2016, 109 :405-420