Robotic hands with intrinsic tactile sensing via 3D printed soft pressure sensors

Ntagios, M., Nassar, H., Pullanchiyodan, A., Navaraj, W.T. ORCID: 0000-0003-4753-2015 and Dahiya, R., 2020. Robotic hands with intrinsic tactile sensing via 3D printed soft pressure sensors. Advanced Intelligent Systems, 2 (6): 1900080. ISSN 2640-4567

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Herein, the development of complex 3D intelligent structures such as robotic hands using innovative designs and multimaterial additive manufacturing technology is presented. The distal phalanges of the 3D printed hand presented herein have inherent soft capacitive touch or pressure sensors and embedded electronics. Materials such as thermoplastic polyurethane (TPU), silver paint, conductive polylactic acid composite, graphite ink, etc. are explored to develop five different variants of the sensors using a modified 3D printer, which is capable of extruding conductive ink, metal paste, and polymers. The best‐performing 3D printed soft capacitive touch sensors, formed with silver paint and soft rubber (Ecoflex 00‐30), are integrated on the distal phalanges of the 3D printed robotic hand. These sensors exhibit a stable response with sensitivity of 0.00348 kPa−1 for pressure [less than] 10 kPa and 0.00134 kPa−1 for higher pressure. To demonstrate the practical applicability, the 3D printed hand with embedded soft capacitive touch sensors is used for interacting with everyday objects. The tightly integrated sensing elements within the 3D printed structures, as presented herein, can pave the way for a new generation of truly smart material systems that can possibly change their appearance and shape autonomously.

Item Type: Journal article
Publication Title: Advanced Intelligent Systems
Creators: Ntagios, M., Nassar, H., Pullanchiyodan, A., Navaraj, W.T. and Dahiya, R.
Publisher: Wiley-VCH
Date: June 2020
Volume: 2
Number: 6
ISSN: 2640-4567
Rights: © 2019 the authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 13 Jan 2020 14:30
Last Modified: 26 Jan 2021 10:59

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