Literature DB >> 33501046

Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics.

Benjamin Shih1, Caleb Christianson2, Kyle Gillespie1, Sebastian Lee1, Jason Mayeda1, Zhaoyuan Huo1, Michael T Tolley1.   

Abstract

Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g., geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors work effectively for soft robotics in specific situations, sensors that are directly integrated into the bodies of soft robots could help improve both their exteroceptive and interoceptive capabilities. To address this challenge, we designed sensors that can be co-fabricated with soft robot bodies using commercial 3D printers, without additional modification. We describe an approach to the design and fabrication of compliant, resistive soft sensors using a Connex3 Objet350 multimaterial printer and investigated an analytical comparison to sensors of similar geometries. The sensors consist of layers of commercial photopolymers with varying conductivities. We characterized the conductivity of TangoPlus, TangoBlackPlus, VeroClear, and Support705 materials under various conditions and demonstrate applications in which we can take advantage of these embedded sensors.
Copyright © 2019 Shih, Christianson, Gillespie, Lee, Mayeda, Huo and Tolley.

Entities:  

Keywords:  3D printed; resistive sensor; soft robotics; soft sensor; soft skin; strain sensor

Year:  2019        PMID: 33501046      PMCID: PMC7805991          DOI: 10.3389/frobt.2019.00030

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  21 in total

1.  Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes.

Authors:  Darren J Lipomi; Michael Vosgueritchian; Benjamin C-K Tee; Sondra L Hellstrom; Jennifer A Lee; Courtney H Fox; Zhenan Bao
Journal:  Nat Nanotechnol       Date:  2011-10-23       Impact factor: 39.213

2.  A skin-inspired organic digital mechanoreceptor.

Authors:  Benjamin C-K Tee; Alex Chortos; Andre Berndt; Amanda Kim Nguyen; Ariane Tom; Allister McGuire; Ziliang Carter Lin; Kevin Tien; Won-Gyu Bae; Huiliang Wang; Ping Mei; Ho-Hsiu Chou; Bianxiao Cui; Karl Deisseroth; Tse Nga Ng; Zhenan Bao
Journal:  Science       Date:  2015-10-16       Impact factor: 47.728

Review 3.  Design, fabrication and control of soft robots.

Authors:  Daniela Rus; Michael T Tolley
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

4.  Dynamic understanding of human-skin movement and strain-field analysis.

Authors:  Ashley M Wessendorf; Dava J Newman
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-03       Impact factor: 4.538

5.  Applied origami. A method for building self-folding machines.

Authors:  S Felton; M Tolley; E Demaine; D Rus; R Wood
Journal:  Science       Date:  2014-08-08       Impact factor: 47.728

6.  Peano-HASEL actuators: Muscle-mimetic, electrohydraulic transducers that linearly contract on activation.

Authors:  Nicholas Kellaris; Vidyacharan Gopaluni Venkata; Garrett M Smith; Shane K Mitchell; Christoph Keplinger
Journal:  Sci Robot       Date:  2018-01-05

7.  A Biologically Inspired, Functionally Graded End Effector for Soft Robotics Applications.

Authors:  Kitty Kumar; Jia Liu; Caleb Christianson; Mustafa Ali; Michael T Tolley; Joanna Aizenberg; Donald E Ingber; James C Weaver; Katia Bertoldi
Journal:  Soft Robot       Date:  2017-10-12       Impact factor: 8.071

8.  Soft robot perception using embedded soft sensors and recurrent neural networks.

Authors:  Thomas George Thuruthel; Benjamin Shih; Cecilia Laschi; Michael Thomas Tolley
Journal:  Sci Robot       Date:  2019-01-30

9.  A polymer-based capacitive sensing array for normal and shear force measurement.

Authors:  Ming-Yuan Cheng; Chun-Liang Lin; Yu-Tse Lai; Yao-Joe Yang
Journal:  Sensors (Basel)       Date:  2010-11-15       Impact factor: 3.576

10.  Soft material for soft actuators.

Authors:  Aslan Miriyev; Kenneth Stack; Hod Lipson
Journal:  Nat Commun       Date:  2017-09-19       Impact factor: 14.919

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  4 in total

Review 1.  Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence.

Authors:  Matthew Sims
Journal:  Front Neurorobot       Date:  2022-04-25       Impact factor: 3.493

Review 2.  Review of machine learning methods in soft robotics.

Authors:  Daekyum Kim; Sang-Hun Kim; Taekyoung Kim; Brian Byunghyun Kang; Minhyuk Lee; Wookeun Park; Subyeong Ku; DongWook Kim; Junghan Kwon; Hochang Lee; Joonbum Bae; Yong-Lae Park; Kyu-Jin Cho; Sungho Jo
Journal:  PLoS One       Date:  2021-02-18       Impact factor: 3.240

3.  Fabrication of a Soft Robotic Gripper With Integrated Strain Sensing Elements Using Multi-Material Additive Manufacturing.

Authors:  Antonia Georgopoulou; Bram Vanderborght; Frank Clemens
Journal:  Front Robot AI       Date:  2021-11-01

4.  A binder jet 3D printed MXene composite for strain sensing and energy storage application.

Authors:  Terek Li; Tianhao Chen; Xuechen Shen; HaoTian Harvey Shi; Elahe Jabari; Hani E Naguib
Journal:  Nanoscale Adv       Date:  2022-01-18
  4 in total

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