Abstract
Most existing soft grippers that rely on bending for grasping often need to squeeze objects to achieve a certain grasping force, which will potentially cause damage to objects especially those delicate and fragile. To solve this problem, a three-branch soft gripper design is proposed, which employs simple actuation but has excellent adaptive and dexterous grasping capabilities. In this paper, structure design will first be introduced in detail. Then, the force of the finger and the contact relationship with the object are analyzed by finite element modeling method. Finally, the pressure sensor is used to obtain the grasping force during grasping process. Furthermore, the grasping performance tests are conducted. Experiment results show that the proposed three-branch soft gripper shows remarkable ability on grasping objects of various shapes, sizes and delicacy.
This work was supported in part by the National Key R&D Program of China under Grant 2022YFB4703103, the National Natural Science Foundation of China under Grant 62103454, the Guangdong Basic and Applied Basic Research Foundation under Grant 2019A1515110680, the Shenzhen Municipal Basic Research Project for Natural Science Foundation under Grant JCYJ20190806143408992, and the Shenzhen Science and Technology Program under Grant JCYJ20220530150006014.
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References
Hughes, J., Culha, U., Giardina, F., Guenther, F., Rosendo, A., Iida, F.: Soft manipulators and grippers: a review. Frontiers in Robotics and AI 3, 69 (2016)
Manti, M., Hassan, T., Passetti, G., D’Elia, N., Laschi, C., Cianchetti, M.: A bioinspired soft robotic gripper for adaptable and effective grasping. Soft Rob. 2(3), 107–116 (2015)
Shintake, J., Cacucciolo, V., Floreano, D., Shea, H.: Soft robotic grippers. Advanced materials 30(29), 1707035 (2018)
Zhou, L., Ren, L., Chen, Y., Niu, S., Han, Z., Ren, L.: Bio-inspired soft grippers based on impactive gripping. Advanced Science 8(9), 2002017 (2021)
Pfaff, O., Simeonov, S., Cirovic, I., Stano, P.: Application of fin ray effect approach for production process automation. Annals of DAAAM & Proceedings 22(1), 1247–1249 (2011)
Ali, M.H., Zhanabayev, A., Khamzhin, S., Mussin, K.: Biologically inspired gripper based on the fin ray effect. In: 2019 5th International Conference on Control, Automation and Robotics (ICCAR), pp. 865–869. IEEE (2019)
Crooks, W., Rozen-Levy, S., Trimmer, B., Rogers, C., Messner, W.: Passive gripper inspired by Manduca sexta and the Fin Ray® Effect. Int. J. Adv. Rob. Syst. 14(4), 1729881417721155 (2017)
Crooks, W., Vukasin, G., O’Sullivan, M., Messner, W., Rogers, C.: Fin ray® effect inspired soft robotic gripper: From the robosoft grand challenge toward optimization. Frontiers in Robotics and AI 3, 70 (2016)
Xu, W., Zhang, H., Zheng, N., Yuan, H.: Design and experiments of a compliant adaptive grasper based on fish fin structure. In: 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 293–298. IEEE (2018)
Xie, Z., Domel, A.G., An, N., Green, C., Gong, Z., et al.: Octopus arm-inspired tapered soft actuators with suckers for improved grasping. Soft Rob. 7(5), 639–648 (2020)
Festo Homepage: https://www.festo.com/PDF_Flip/corp/Festo_BionicCobot/en/, last accessed 17 April 2023
Festo Homepage, https://www.festo.com/us/en/a/8092533, last accessed 28 April 2022
Xu, Z., Todorov, E.: Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 3485–3492. IEEE (2016)
Tavakoli, M., Lopes, P., Lourenco, J., Rocha, R.P., et al.: Autonomous selection of closing posture of a robotic hand through embodied soft matter capacitive sensors. IEEE Sens. J. 17(17), 5669–5677 (2017)
Behl, M., Kratz, K., Zotzmann, J., Nöchel, U., Lendlein, A.: Reversible bidirectional shape-memory polymers. Advanced Materials 25(32), 4466–4469 (2013)
Ge, Q., Sakhaei, A.H., Lee, H., et al.: Multimaterial 4D printing with tailorable shape memory polymers. Sci. Rep. 6(1), 1–11 (2016)
Liu, C.H., Chen, T.L., et al.: Optimal design of a soft robotic gripper for grasping unknown objects. Soft Rob. 5(4), 452–465 (2018)
Liu, C.H., Chung, F.M., Chen, Y., Chiu, C.H., Chen, T.L.: Optimal design of a motor-driven three-finger soft robotic gripper. IEEE/ASME Trans. Mechatron. 25(4), 1830–1840 (2020)
Ruotolo, W., Brouwer, D., Cutkosky, M.R.: From grasping to manipulation with gecko-inspired adhesives on a multifinger gripper. Science Robotics 6(61), eabi9773 (2021)
Shintake, J., Rosset, S., Schubert, B., Floreano, D., Shea, H.: Versatile soft grippers with intrinsic electroadhesion based on multifunctional polymer actuators. Adv. Mater. 28(2), 231–238 (2016)
Amend, J., Cheng, N., Fakhouri, S., Culley, B.: Soft robotics commercialization: Jamming grippers from research to product. Soft Rob. 3(4), 213–222 (2016)
Amend, J.R., Brown, E., Rodenberg, N., Jaeger, H.M., Lipson, H.: A positive pressure universal gripper based on the jamming of granular material. IEEE Trans. Rob. 28(2), 341–350 (2012)
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Li, W., Guo, Y., Han, Y., Peng, J. (2023). Design and Grasping Experiments of a Three-Branch Dexterous Soft Gripper. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14270. Springer, Singapore. https://doi.org/10.1007/978-981-99-6492-5_3
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DOI: https://doi.org/10.1007/978-981-99-6492-5_3
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