Tactile sensing using elastomeric sensors

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.

Bibliographic Details
Main Author: Jia, Xiaodan (Xiaodan Stella)
Other Authors: Edward H. Adelson and Mandayam A. Srinivasan.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/78183
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author Jia, Xiaodan (Xiaodan Stella)
author2 Edward H. Adelson and Mandayam A. Srinivasan.
author_facet Edward H. Adelson and Mandayam A. Srinivasan.
Jia, Xiaodan (Xiaodan Stella)
author_sort Jia, Xiaodan (Xiaodan Stella)
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/781832019-04-10T23:19:39Z Tactile sensing using elastomeric sensors Jia, Xiaodan (Xiaodan Stella) Edward H. Adelson and Mandayam A. Srinivasan. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 99-111). GelSight, namely, elastomeric sensor, is a novel tactile sensor to get the 3D information of contacting surfaces. Using GelSight, some tactile properties, such as softness and roughness, could be gained through image processing techniques. In this thesis, I implemented GelSight principle to reconstruct surface geometry of tested surfaces, based on which, the roughness comparison and lump detection experiment are conducted. Roughness of five different types of sandpapers are successfully compared using GelSight Ra value. In the lump detection experiment, a visual display for tactile information is presented. To get binary feedback of lump presence or not, a simple threshold method is introduced in this thesis. To evaluate the performance of GelSight sensor, human psychological experiments are conducted. In similar tasks, GelSight sensor outperforms humans in lump detection. by Xiaodan (Stella) Jia. S.M. 2013-03-28T18:12:03Z 2013-03-28T18:12:03Z 2012 2012 Thesis http://hdl.handle.net/1721.1/78183 829815484 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 111 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Jia, Xiaodan (Xiaodan Stella)
Tactile sensing using elastomeric sensors
title Tactile sensing using elastomeric sensors
title_full Tactile sensing using elastomeric sensors
title_fullStr Tactile sensing using elastomeric sensors
title_full_unstemmed Tactile sensing using elastomeric sensors
title_short Tactile sensing using elastomeric sensors
title_sort tactile sensing using elastomeric sensors
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/78183
work_keys_str_mv AT jiaxiaodanxiaodanstella tactilesensingusingelastomericsensors