Literature DB >> 33157858

Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides.

Huichan Zhao1, Kevin O'Brien1, Shuo Li2, Robert F Shepherd3.   

Abstract

Because of their continuous and natural motion, fluidically powered soft actuators have shown potential in a range of robotic applications, including prosthetics and orthotics. Despite these advantages, robots using these actuators require stretchable sensors that can be embedded in their bodies for sophisticated functions. Presently, stretchable sensors usually rely on the electrical properties of materials and composites for measuring a signal; many of these sensors suffer from hysteresis, fabrication complexity, chemical safety and environmental instability, and material incompatibility with soft actuators. Many of these issues are solved if the optical properties of materials are used for signal transduction. We report the use of stretchable optical waveguides for strain sensing in a prosthetic hand. These optoelectronic strain sensors are easy to fabricate, are chemically inert, and demonstrate low hysteresis and high precision in their output signals. As a demonstration of their potential, the photonic strain sensors were used as curvature, elongation, and force sensors integrated into a fiber-reinforced soft prosthetic hand. The optoelectronically innervated prosthetic hand was used to conduct various active sensation experiments inspired by the capabilities of a real hand. Our final demonstration used the prosthesis to feel the shape and softness of three tomatoes and select the ripe one.
Copyright © 2016, American Association for the Advancement of Science.

Year:  2016        PMID: 33157858     DOI: 10.1126/scirobotics.aai7529

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  27 in total

Review 1.  Bio-Inspired Soft Grippers Based on Impactive Gripping.

Authors:  Liang Zhou; Lili Ren; You Chen; Shichao Niu; Zhiwu Han; Luquan Ren
Journal:  Adv Sci (Weinh)       Date:  2021-03-02       Impact factor: 16.806

2.  Soft actuators for real-world applications.

Authors:  Meng Li; Aniket Pal; Amirreza Aghakhani; Abdon Pena-Francesch; Metin Sitti
Journal:  Nat Rev Mater       Date:  2021-11-10       Impact factor: 66.308

3.  A dynamic electrically driven soft valve for control of soft hydraulic actuators.

Authors:  Siyi Xu; Yufeng Chen; Nak-Seung P Hyun; Kaitlyn P Becker; Robert J Wood
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-24       Impact factor: 11.205

4.  Smart Skin: Vision-Based Soft Pressure Sensing System for In-Home Hand Rehabilitation.

Authors:  Yuanfeng Han; Aadith Varadarajan; Taekyoung Kim; Gang Zheng; Kris Kitani; Aisling Kelliher; Thanassis Rikakis; Yong-Lae Park
Journal:  Soft Robot       Date:  2021-08-20       Impact factor: 7.784

5.  Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications.

Authors:  Amir Pagoli; Frédéric Chapelle; Juan-Antonio Corrales-Ramon; Youcef Mezouar; Yuri Lapusta
Journal:  Sensors (Basel)       Date:  2022-05-27       Impact factor: 3.847

Review 6.  Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.

Authors:  Wenzheng Heng; Samuel Solomon; Wei Gao
Journal:  Adv Mater       Date:  2022-02-25       Impact factor: 32.086

7.  A Soft Robotic Sleeve for Safer Colonoscopy Procedures.

Authors:  Max McCandless; Arincheyan Gerald; Ashlyn Carroll; Hiroyuki Aihara; Sheila Russo
Journal:  IEEE Robot Autom Lett       Date:  2021-04-15

8.  Magnetically switchable soft suction grippers.

Authors:  Anastasia Koivikko; Dirk-Michael Drotlef; Metin Sitti; Veikko Sariola
Journal:  Extreme Mech Lett       Date:  2021-03-05

9.  Self-Sensing Pneumatic Compressing Actuator.

Authors:  Nan Lin; Hui Zheng; Yuxuan Li; Ruolin Wang; Xiaoping Chen; Xinming Zhang
Journal:  Front Neurorobot       Date:  2020-12-11       Impact factor: 2.650

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

Authors:  Benjamin Shih; Caleb Christianson; Kyle Gillespie; Sebastian Lee; Jason Mayeda; Zhaoyuan Huo; Michael T Tolley
Journal:  Front Robot AI       Date:  2019-04-30
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