Soft Robots Modeling: A Structured Overview

被引:114
作者
Armanini, Costanza [1 ,2 ]
Boyer, Frederic [3 ]
Mathew, Anup Teejo [1 ,2 ]
Duriez, Christian [4 ]
Renda, Federico [1 ,2 ]
机构
[1] Khalifa Univ Sci & Technol, Dept Mech Engn, Abu Dhabi 127788, U Arab Emirates
[2] Khalifa Univ Sci & Technol, Ctr Autonomous Robot Syst, Abu Dhabi 127788, U Arab Emirates
[3] Inst Mines Telecom Atlantique, Lab LS2N, F-44307 Nantes, France
[4] Univ Lille, CNRS, Team DEFROST, Inria,Cent Lille, F-59000 Lille, France
关键词
Dynamics; flexible robots; kinematics; modeling; control; and learning for soft robots; CONTINUUM ROBOTS; FINITE-ELEMENT; DYNAMIC-MODEL; INVERSE KINEMATICS; CONSTANT CURVATURE; NEURAL-NETWORK; DESIGN; DRIVEN; MANIPULATORS; TENDON;
D O I
10.1109/TRO.2022.3231360
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The robotics community has seen an exponential growth in the level of complexity of the theoretical tools presented for the modeling of soft robotics devices. Different solutions have been presented to overcome the difficulties related to the modeling of soft robots, often leveraging on other scientific disciplines, such as continuum mechanics, computational mechanics, and computer graphics. These theoretical and computational foundations are often taken for granted and this leads to an intricate literature that, consequently, has rarely been the subject of a complete review. For the first time, we present here a structured overview of all the approaches proposed so far to model soft robots. The chosen classification, which is based on their theoretical and numerical grounds, allows us to provide a critical analysis about their uses and applicability. This will enable robotics researchers to learn the basics of these modeling techniques and their associated numerical methods, but also to have a critical perspective on their uses.
引用
收藏
页码:1728 / 1748
页数:21
相关论文
共 163 条
  • [1] Coupling Numerical Deformable Models in Global and Reduced Coordinates for the Simulation of the Direct and the Inverse Kinematics of Soft Robots
    Adagolodjo, Yinoussa
    Renda, Federico
    Duriez, Christian
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (02) : 3910 - 3917
  • [2] Allard J, 2007, STUD HEALTH TECHNOL, V125, P13
  • [3] Allen TF, 2020, 2020 3RD IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), P410, DOI [10.1109/robosoft48309.2020.9116015, 10.1109/RoboSoft48309.2020.9116015]
  • [4] [Anonymous], LMS SAMTECH SAMCEF M
  • [5] Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator
    Arbabi, Hassan
    Mezic, Igor
    [J]. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2017, 16 (04): : 2096 - 2126
  • [6] From the elastica compass to the elastica catapult: an essay on the mechanics of soft robot arm
    Armanini, C.
    Dal Corso, F.
    Misseroni, D.
    Bigoni, D.
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2017, 473 (2198):
  • [7] Model-Based Design Optimization of Underwater Flagellate Propellers
    Armanini, Costanza
    Alshehhi, Aysha Ali
    Mathew, Anup Teejo
    Ben Hmida, Ikhlas
    Stefanini, Cesare
    Renda, Federico
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04): : 10089 - 10096
  • [8] Discrete Cosserat Approach for Closed-Chain Soft Robots: Application to the Fin-Ray Finger
    Armanini, Costanza
    Hussain, Irfan
    Iqbal, Muhammad Zubair
    Gan, Dongming
    Prattichizzo, Domenico
    Renda, Federico
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2021, 37 (06) : 2083 - 2098
  • [9] A discrete geometric approach for simulating the dynamics of thin viscous threads
    Audoly, B.
    Clauvelin, N.
    Brun, P. -T.
    Bergou, M.
    Grinspun, E.
    Wardetzky, M.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2013, 253 : 18 - 49
  • [10] Austin J, 2020, IEEE INT CONF ROBOT, P7754, DOI [10.1109/ICRA40945.2020.9196808, 10.1109/icra40945.2020.9196808]