Abstract
Soft robots are spreading quickly and widely thanks to their adaptability, tolerance to uncertainties, reliability, and intrinsic safety. To predict their behaviour and optimize their design, it is fundamental to devise models that account for the fact that they are made of highly non-linear materials and can be subjected to large, continuous deformations. In this work, we focus on modelling a soft robotic device developed to provide controllable compliance and sensing capabilities to the environment. Different models for non-linear materials in FEM static simulations are tested to evaluate which type of representation is more convenient in terms of accuracy.
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References
Bimbo, J., Turco, E., Ghazaei Ardakani, M., Pozzi, M., Salvietti, G., Bo, V., Malvezzi, M., Prattichizzo, D.: Exploiting robot hand compliance and environmental constraints for edge grasps. Front. Robot. AI 6, 135 (2019). https://doi.org/10.3389/frobt.2019.00135
Boyce, M.C.: Direct comparison of the Gent and the Arruda-Boyce constitutive models of rubber elasticity. Rubber Chem. Technol. 69(5), 781–785 (1996)
Case, J.C., White, E.L., Kramer, R.K.: Soft material characterization for robotic applications. Soft Robot. 2(2), 80–87 (2015)
COMSOLS Multiphysics, Structural Mechanics Module User’s Guide (2017)
Deimel, R., Eppner, C., Álvarez-Ruiz, J., Maertens, M., Brock, O.: Exploitation of environmental constraints in human and robotic grasping. In: Robotics Research, pp. 393–409. Springer (2016)
Elango, N., Faudzi, A.: A review article: investigations on soft materials for soft robot manipulations. Int. J. Adv. Manuf. Technol. 80(5–8), 1027–1037 (2015)
Gaudeni, C., Pozzi, M., Iqbal, Z., Malvezzi, M., Prattichizzo, D.: Grasping with the softpad, a soft sensorized surface for exploiting environmental constraints with rigid grippers. IEEE Robot. Autom. Lett. 5(3), 3884–3891 (2020)
Gent, A.: A new constitutive relation for rubber. Rubber Chem. Technol. 69(1), 59–61 (1996)
Hill, J.: Exact integrals and solutions for finite deformations of the incompressible Varga elastic materials. In: London Mathematical Society Lecture Note Series, pp. 160–200 (2001)
Hussain, I., Renda, F., Iqbal, Z., Malvezzi, M., Salvietti, G., Seneviratne, L., Gan, D., Prattichizzo, D.: Modeling and prototyping of an underactuated gripper exploiting joint compliance and modularity. IEEE Robot. Autom. Lett. 3(4), 2854–2861 (2018)
Lee, C., Kim, M., Kim, Y.J., Hong, N., Ryu, S., Kim, H.J., Kim, S.: Soft robot review. Int. J. Control Autom. Syst. 15(1), 3–15 (2017)
Martins, P., Natal Jorge, R., Ferreira, A.: A comparative study of several material models for prediction of hyperelastic properties: application to silicone-rubber and soft tissues. Strain 42(3), 135–147 (2006)
Mooney, M.: A theory of large elastic deformation. J. Appl. Phys. 11(9), 582–592 (1940)
Noor, S.N.A.M., Mahmud, J.: Modelling and computation of silicone rubber deformation adapting neo-hookean constitutive equation. In: 2015 Fifth International Conference on Communication Systems and Network Technologies, pp. 1323–1326. IEEE (2015)
Ogden, R.W.: Large deformation isotropic elasticity-on the correlation of theory and experiment for incompressible rubberlike solids. Proc. Roy. Soc. London. A. Math. Phys. Sci. 326(1567), 565–584 (1972)
Pal, A., Goswami, D., Martinez, R.V.: Elastic energy storage enables rapid and programmable actuation in soft machines. Adv. Funct. Mater. 30, 1906603 (2019)
Pozzi, M., Miguel, E., Deimel, R., Malvezzi, M., Bickel, B., Brock, O., Prattichizzo, D.: Efficient fem-based simulation of soft robots modeled as kinematic chains. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1–8 (2018)
Russo, M., Ceccarelli, M., Corves, B., Hüsing, M., Lorenz, M., Cafolla, D., Carbone, G.: Design and test of a gripper prototype for horticulture products. Robot. Comput.-Integr. Manuf. 44, 266–275 (2017)
Sanz, P.J., Requena, A., Inesta, J.M., Del Pobil, A.P.: Grasping the not-so-obvious: vision-based object handling for industrial applications. IEEE Robot. Autom. Mag. 12(3), 44–52 (2005)
Steck, D., Qu, J., Kordmahale, S., Tscharnuter, D., Muliana, A., Kameoka, J.: Mechanical responses of Ecoflex silicone rubber: compressible and incompressible behaviors. J. Appl. Polym. Sci. 136(5), 47025 (2019)
Yap, H.K., Goh, J.C.H., Yeow, R.C.H.: Design and characterization of soft actuator for hand rehabilitation application. In: Lacković, I., Vasic, D. (eds.) 6th European Conference of the International Federation for Medical and Biological Engineering, pp. 367–370. Springer, Cham (2015)
Yeoh, O.H.: Some forms of the strain energy function for rubber. Rubber Chem. Technol. 66(5), 754–771 (1993)
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Pozzi, M., Gaudeni, C., Iqbal, Z., Prattichizzo, D., Malvezzi, M. (2021). Modeling a Sensorized Soft Layer for Adding Compliance to the Environment in Robotic Manipulation. In: Niola, V., Gasparetto, A. (eds) Advances in Italian Mechanism Science. IFToMM ITALY 2020. Mechanisms and Machine Science, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-030-55807-9_42
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DOI: https://doi.org/10.1007/978-3-030-55807-9_42
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