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DESIGN OF A SIMPLIFIED 3D-PRINTED ARTIFICIAL UNDERACTUATED HAND

Part of: Design Methods

Published online by Cambridge University Press:  11 June 2020

A. Orabona ,
A. Palazzi ,
S. Graziosi ,
F. Ferrise  and
M. Bordegoni
A. Orabona
Affiliation:
Politecnico di Milano, Italy
A. Palazzi
Affiliation:
Politecnico di Milano, Italy
S. Graziosi*
Affiliation:
Politecnico di Milano, Italy
F. Ferrise
Affiliation:
Politecnico di Milano, Italy
M. Bordegoni
Affiliation:
Politecnico di Milano, Italy
*
*serena.graziosi@polimi.it

Abstract

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The recent interest in human-robot interaction requires the development of new gripping solutions, compared to those already available and widely used. One of the most advanced solutions in nature is that of the human hand, and several research contributions try to replicate its functionality. Technological advances in manufacturing technologies and design tools are opening possibilities in the design of new solutions. The paper reports the results of the design of an underactuated artificial robotic hand, designed by exploiting the benefits offered by additive manufacturing technologies.

Keywords

additive manufacturingmechatronics3D printingdesign for additive manufacturing
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1027 - 1036
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Agarwal, A. et al. (2018), “Effects of material properties on soft gripper grasping forces”, In 2018 IEEE International Conference on Soft Robotics (RoboSoft), pp. 437–442. https://doi.org/10.1109/ROBOSOFT.2018.8405365CrossRefGoogle Scholar
Bhatia, A., Johnson, A.M. and Mason, M.T. (2019), “Direct Drive Hands: Force-Motion Transparency in Gripper Design”, Proceedings of the Robotics: Science and Systems, Freiburg, Germany, pp. 22–26. https://doi.org/10.15607/RSS.2019.XV.053CrossRefGoogle Scholar
Catalano, M.G. et al. (2014), “Adaptive synergies for the design and control of the Pisa/IIT SoftHand”, The International Journal of Robotics Research, Vol. 33 No. 5, pp. 768–782. https://doi.org/10.1177%2F0278364913518998CrossRefGoogle Scholar
Cuellar, J.S. et al. (2019), “Functional evaluation of a non-assembly 3D-printed hand prosthesis”, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, Vol. 233 No. 11, pp. 1122–1131.https://doi.org/10.1177%2F0954411919874523CrossRefGoogle ScholarPubMed
Gabiccini, M. et al. (2011), “On the role of hand synergies in the optimal choice of grasping forces”, Autonomous Robots, Vol. 31 No. 2-3, pp. 235–252. https://doi.org/10.1007/s10514-011-9244-1CrossRefGoogle Scholar
Ge, L. et al. (2018), “A digital light processing 3D printer for fast and high-precision fabrication of soft pneumatic actuators”, Sensors and Actuators A: Physical, Vol. 273, pp. 285–292. https://doi.org/10.1016/j.sna.2018.02.041CrossRefGoogle Scholar
Ge, Q. et al. (2016), “Multimaterial 4D printing with tailorable shape memory polymers”, Scientific reports, Vol. 6, p. 31110. https://doi.org/10.1038/srep31110CrossRefGoogle ScholarPubMed
Hao, Y. et al. (2017), “Modeling and experiments of a soft robotic gripper in amphibious environments”, International Journal of Advanced Robotic Systems, Vol. 14 No. 3, p. 1729881417707148. https://doi.org/10.1177%2F1729881417707148CrossRefGoogle Scholar
Holland, D.P. et al. (2014), “The soft robotics toolkit: Shared resources for research and design”, Soft Robotics, Vol. 1 No. 3, pp. 224–230. https://doi.org/10.1089/soro.2014.0010CrossRefGoogle Scholar
Kappassov, Z. et al. (2013), “Semi-anthropomorphic 3D printed multigrasp hand for industrial and service robots”, In 2013 IEEE International Conference on Mechatronics and Automation, pp. 1697–1702. https://doi.org/10.1109/ICMA.2013.6618171CrossRefGoogle Scholar
Kaur, M. and Kim, W.S. (2019), “Toward a Smart Compliant Robotic Gripper Equipped with 3D-Designed Cellular Fingers”, Advanced Intelligent Systems, Vol. 1 No. 3, p. 1900019. https://doi.org/10.1002/aisy.201900019CrossRefGoogle Scholar
Malvezzi, M. et al. (2015), “Syngrasp: A matlab toolbox for underactuated and compliant hands”, IEEE Robotics & Automation Magazine, Vol. 22 No. 4, pp. 52–68. https://doi.org/10.1109/MRA.2015.2408772CrossRefGoogle Scholar
Matsas, E., Vosniakos, G.C. and Batras, D. (2018), “Prototyping proactive and adaptive techniques for human-robot collaboration in manufacturing using virtual reality”, Robotics and Computer-Integrated Manufacturing, Vol. 50, pp. 168–180. https://doi.org/10.1016/j.rcim.2017.09.005CrossRefGoogle Scholar
Muth, J.T. et al. (2014), “Embedded 3D printing of strain sensors within highly stretchable elastomers”, Advanced Materials, Vol. 26 No. 36, pp. 6307–6312. https://doi.org/10.1002/adma.201400334CrossRefGoogle ScholarPubMed
Mutlu, R. et al. (2016), “3D printed flexure hinges for soft monolithic prosthetic fingers”, Soft Robotics, Vol. 3 No. 3, pp. 120–133. https://doi.org/10.1089/soro.2016.0026CrossRefGoogle Scholar
Patel, D.K. et al. (2017), “Highly stretchable and UV curable elastomers for digital light processing based 3D printing”, Advanced Materials, Vol. 29 No. 15, p. 1606000. https://doi.org/10.1002/adma.201606000CrossRefGoogle ScholarPubMed
Piazza, C. et al. (2019), “A century of robotic hands”, Annual Review of Control Robotics, and Autonomous Systems, Vol. 2, pp. 1–32. https://doi.org/10.1146/annurev-control-060117-105003CrossRefGoogle Scholar
Renaud, C. et al. (2009), “The Yeoh model applied to the modeling of large deformation contact/impact problems”, International Journal of Impact Engineering, Vol. 36 No. 5, pp. 659–666. https://doi.org/10.1016/j.ijimpeng.2008.09.008CrossRefGoogle Scholar
Santello, M., Flanders, M. and Soechting, J.F. (1998), “Postural hand synergies for tool use”, Journal of Neuroscience, Vol. 18 No. 23, pp. 10105–10115. https://doi.org/10.1523/JNEUROSCI.18-23-10105.1998CrossRefGoogle ScholarPubMed
Santello, M. et al. (2016), “Hand synergies: integration of robotics and neuroscience for understanding the control of biological and artificial hands”, Physics of life reviews, Vol. 17, pp. 1–23. https://doi.org/10.1016/j.plrev.2016.02.001CrossRefGoogle ScholarPubMed
Schumacher, C. et al. (2015), “Microstructures to control elasticity in 3D printing”, ACM Transactions on Graphics (TOG), Vol. 34 No. 4, p. 136. https://doi.org/10.1145/2766926CrossRefGoogle Scholar
Ten Kate, J., Smit, G. and Breedveld, P. (2017), “3D-printed upper limb prostheses: a review”, Disability and Rehabilitation: Assistive Technology, Vol. 12 No. 3, pp. 300–314. https://doi.org/10.1080/17483107.2016.1253117Google ScholarPubMed
Tian, L. et al. (2017), “The making of a 3D-printed, cable-driven, single-model, lightweight humanoid robotic hand”, Frontiers in Robotics and AI, Vol. 4, p. 65. https://doi.org/10.3389/frobt.2017.00065CrossRefGoogle Scholar
Trease, B.P., Moon, Y.M. and Kota, S. (2005), “Design of large-displacement compliant joints”, Journal of mechanical design, Vol. 127 No. 4, pp. 788–798. https://doi.org/10.1115/1.1900149CrossRefGoogle Scholar
Truby, R.L. et al. (2019), “Soft Robotic Fingers with Embedded Ionogel Sensors and Discrete Actuation Modes for Somatosensitive Manipulation”, In 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), pp. 322–329. https://doi.org/10.1109/ROBOSOFT.2019.8722722CrossRefGoogle Scholar
Xu, Z., Kumar, V. and Todorov, E. (2013), “A low-cost and modular, 20-DOF anthropomorphic robotic hand: design, actuation and modeling”, In 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 368–375. https://doi.org/10.1109/HUMANOIDS.2013.7030001CrossRefGoogle Scholar
Ultimaker 3, (2019), https://ultimaker.com/3d-printers/ultimaker-3, (accessed 06.11.2019)Google Scholar
Ultimaker CPE, (2019), https://ultimaker.com/en/resources/49914-cpe, (accessed 06.11.2019)Google Scholar
Ultimaker PVA, (2019), https://ultimaker.com/en/resources/49919-pva, (accessed 06.11.2019)Google Scholar
Ultimaker TPU95A, (2019), https://ultimaker.com/en/resources/49917-tpu-95a, (accessed 06.11.2019)Google Scholar