Literature DB >> 31241408

Fiber Optic Shape Sensing for Soft Robotics.

Kevin C Galloway1, Yue Chen2, Emily Templeton3, Brian Rife3, Isuru S Godage4, Eric J Barth1.   

Abstract

While soft material actuators can undergo large deformations to execute very complex motions, what is critically lacking in soft material robotic systems is the ability to collect high-resolution shape information for sophisticated functions such as environmental mapping, collision detection, and full state feedback control. This work explores the potential of a nearly commercial fiber optic shape sensor (FOSS) and presents the first demonstrations of a monolithic, multicore FOSS integrated into the structure of a fiber-reinforced soft actuator. In this pilot study, we report an open loop sensorized soft actuator capable of submillimeter position feedback that can detect the soft actuator's shape, environmental shapes, collision locations, and material stiffness properties.

Entities:  

Keywords:  fiber optic shape sensor; soft actuator; soft robotics; soft sensor

Year:  2019        PMID: 31241408      PMCID: PMC6786339          DOI: 10.1089/soro.2018.0131

Source DB:  PubMed          Journal:  Soft Robot        ISSN: 2169-5172            Impact factor:   8.071


  9 in total

1.  Real-Time Estimation of 3-D Needle Shape and Deflection for MRI-Guided Interventions.

Authors:  Yong-Lae Park; Santhi Elayaperumal; Bruce Daniel; Seok Chang Ryu; Mihye Shin; Joan Savall; Richard J Black; Behzad Moslehi; Mark R Cutkosky
Journal:  IEEE ASME Trans Mechatron       Date:  2010-12       Impact factor: 5.303

2.  High resolution optical frequency domain reflectometry for characterization of components and assemblies.

Authors:  Brian Soller; Dawn Gifford; Matthew Wolfe; Mark Froggatt
Journal:  Opt Express       Date:  2005-01-24       Impact factor: 3.894

3.  Soft robotics for chemists.

Authors:  Filip Ilievski; Aaron D Mazzeo; Robert F Shepherd; Xin Chen; George M Whitesides
Journal:  Angew Chem Int Ed Engl       Date:  2011-01-20       Impact factor: 15.336

4.  Capacitive soft strain sensors via multicore-shell fiber printing.

Authors:  Andreas Frutiger; Joseph T Muth; Daniel M Vogt; Yiǧit Mengüç; Alexandre Campo; Alexander D Valentine; Conor J Walsh; Jennifer A Lewis
Journal:  Adv Mater       Date:  2015-03-09       Impact factor: 30.849

5.  Embedded 3D printing of strain sensors within highly stretchable elastomers.

Authors:  Joseph T Muth; Daniel M Vogt; Ryan L Truby; Yiğit Mengüç; David B Kolesky; Robert J Wood; Jennifer A Lewis
Journal:  Adv Mater       Date:  2014-06-16       Impact factor: 30.849

6.  Stretchable, Twisted Conductive Microtubules for Wearable Computing, Robotics, Electronics, and Healthcare.

Authors:  Thanh Nho Do; Yon Visell
Journal:  Sci Rep       Date:  2017-05-11       Impact factor: 4.379

7.  Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis.

Authors:  Guanjun Bao; Hui Fang; Lingfeng Chen; Yuehua Wan; Fang Xu; Qinghua Yang; Libin Zhang
Journal:  Soft Robot       Date:  2018-05-21       Impact factor: 8.071

8.  Assisting hand function after spinal cord injury with a fabric-based soft robotic glove.

Authors:  Leonardo Cappello; Jan T Meyer; Kevin C Galloway; Jeffrey D Peisner; Rachael Granberry; Diana A Wagner; Sven Engelhardt; Sabrina Paganoni; Conor J Walsh
Journal:  J Neuroeng Rehabil       Date:  2018-06-28       Impact factor: 4.262

9.  Soft Robotic Grippers for Biological Sampling on Deep Reefs.

Authors:  Kevin C Galloway; Kaitlyn P Becker; Brennan Phillips; Jordan Kirby; Stephen Licht; Dan Tchernov; Robert J Wood; David F Gruber
Journal:  Soft Robot       Date:  2016-03-01       Impact factor: 8.071

  9 in total
  5 in total

1.  Shape-programmable, deformation-locking, and self-sensing artificial muscle based on liquid crystal elastomer and low-melting point alloy.

Authors:  Haoran Liu; Hongmiao Tian; Xiangming Li; Xiaoliang Chen; Kai Zhang; Hongyu Shi; Chunhui Wang; Jinyou Shao
Journal:  Sci Adv       Date:  2022-05-18       Impact factor: 14.957

2.  A Prospective Randomized Comparative Study of Three Guided Bronchoscopic Approaches for Investigating Pulmonary Nodules: The PRECISION-1 Study.

Authors:  Lonny Yarmus; Jason Akulian; Momen Wahidi; Alex Chen; Jennifer P Steltz; Sam L Solomon; Diana Yu; Fabien Maldonado; Jose Cardenas-Garcia; Daniela Molena; Hans Lee; Anil Vachani
Journal:  Chest       Date:  2019-11-01       Impact factor: 9.410

3.  Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions.

Authors:  Or Kalchiem-Dekel; James G Connolly; I-Hsin Lin; Bryan C Husta; Prasad S Adusumilli; Jason A Beattie; Darren J Buonocore; Joseph Dycoco; Paige Fuentes; David R Jones; Robert P Lee; Bernard J Park; Gaetano Rocco; Mohit Chawla; Matthew J Bott
Journal:  Chest       Date:  2021-08-09       Impact factor: 9.410

4.  Shape accuracy of fiber optic sensing for medical devices characterized in bench experiments.

Authors:  Mischa Megens; Merel D Leistikow; Anneke van Dusschoten; Martin B van der Mark; Jeroen J L Horikx; Elbert G van Putten; Gert W 't Hooft
Journal:  Med Phys       Date:  2021-06-28       Impact factor: 4.506

5.  Efficacy and Safety of Cone-Beam CT Augmented Electromagnetic Navigation Guided Bronchoscopic Biopsies of Indeterminate Pulmonary Nodules.

Authors:  Shreya Podder; Sana Chaudry; Harpreet Singh; Elise M Jondall; Jonathan S Kurman; Bryan S Benn
Journal:  Tomography       Date:  2022-08-18
  5 in total

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