SoRoSim: A MATLAB Toolbox for Hybrid Rigid-Soft Robots Based on the Geometric Variable-Strain Approach

被引:39
作者
Mathew, Anup Teejo [1 ]
Ben Hmida, Ikhlas [1 ]
Armanini, Costanza [1 ]
Boyer, Frederic [2 ]
Renda, Federico [1 ,3 ]
机构
[1] Khalifa Univ Sci & Technol, Dept Mech Engn, Abu Dhabi 127788, U Arab Emirates
[2] IMT Atlantique, Lab Digital Sci Nantes, F-44307 Nantes, France
[3] Khalifa Univ, Khalifa Univ Ctr Autonomous Robot Syst, Abu Dhabi 127788, U Arab Emirates
关键词
Robots; Mathematical models; Strain; Soft robotics; Robot kinematics; Matlab; Analytical models; SPACE; MODEL;
D O I
10.1109/MRA.2022.3202488
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Soft robotics has been a trending topic within the robotics community for almost two decades. However, available tools for the modeling and analysis of soft robots are still limited. This article introduces a user-friendly MATLAB toolbox, Soft Robot Simulator (SoRoSim), that integrates the geometric variable-strain (GVS) model of Cosserat rods to facilitate the static and dynamic analysis of soft, rigid, and hybrid robotic systems. We present a brief overview of the design and structure of the toolbox and validate it by comparing its results with those published in the literature. To highlight the toolbox's potential to efficiently model, simulate, optimize, and control various robotic systems, we demonstrate four sample applications. The demonstrated applications explore different actuator and external loading conditions of single-, branched-, open-, and closed-chain robotic systems. We think that the soft robotics research community will significantly benefit from the SoRoSim toolbox for a wide variety of applications. © 1994-2011 IEEE.
引用
收藏
页码:106 / 122
页数:17
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