Loading…
Calibration of tactile/force sensors for grasping with the PRISMA Hand II
The PRISMA Hand II is a mechanically robust anthropomorphic hand developed at PRISMA Lab, University of Naples Federico II. The hand is highly underactuated, three motors drive 19 joints via elastic tendons. Thanks to its particular mechanical design, the hand can perform not only adaptive grasps bu...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 447 |
container_issue | |
container_start_page | 442 |
container_title | |
container_volume | |
creator | Canbay, D.E. Ferrentino, P. Liu, H. Moccia, R. Pirozzi, S. Siciliano, B. Ficuciello, F. |
description | The PRISMA Hand II is a mechanically robust anthropomorphic hand developed at PRISMA Lab, University of Naples Federico II. The hand is highly underactuated, three motors drive 19 joints via elastic tendons. Thanks to its particular mechanical design, the hand can perform not only adaptive grasps but also in-hand manipulation. Each fingertip integrates a tactile/force sensor, based on optoelectronic technology, to provide tactile/force feedback during grasping and manipulation, particularly useful with deformable objects. The paper briefly describes the mechanical design and sensor technology of the hand and proposes a calibration procedure for tactile/force sensors. A comparison between different models of Neural Networks architectures, suitable for sensors calibration, is shown. Experimental tests are provided to choose the optimal tactile sensing suite. Finally, experiments for the regulation of the forces are made to show the effectiveness of calibrated sensors. |
doi_str_mv | 10.1109/AIM46487.2021.9517508 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_9517508</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9517508</ieee_id><sourcerecordid>9517508</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-b6dd1a19c5f7df432511ff921ece062241f07c905040ce66f47e1d2c3a14b37e3</originalsourceid><addsrcrecordid>eNotj8tKw0AUQEdBsNZ-gQjzA0nvnVcyyxDUBloUH-symdxpR2JSMgHx7xXs6nA2Bw5j9wg5Ith11eyUUWWRCxCYW42FhvKC3aAxWimU1l6yhUBtMyO0vmarlD4BAKHUQsgFa2rXx3ZycxwHPgY-Oz_HntZhnDzxREMap8T_jB8ml05xOPDvOB_5fCT-8tq87Sq-cUPHm-aWXQXXJ1qduWQfjw_v9SbbPj81dbXNogA5Z63pOnRovQ5FF5QUGjEEK5A8gRFCYYDCW9CgwJMxQRWEnfDSoWplQXLJ7v67kYj2pyl-uelnfz6XvyLeTD0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Calibration of tactile/force sensors for grasping with the PRISMA Hand II</title><source>IEEE Xplore All Conference Series</source><creator>Canbay, D.E. ; Ferrentino, P. ; Liu, H. ; Moccia, R. ; Pirozzi, S. ; Siciliano, B. ; Ficuciello, F.</creator><creatorcontrib>Canbay, D.E. ; Ferrentino, P. ; Liu, H. ; Moccia, R. ; Pirozzi, S. ; Siciliano, B. ; Ficuciello, F.</creatorcontrib><description>The PRISMA Hand II is a mechanically robust anthropomorphic hand developed at PRISMA Lab, University of Naples Federico II. The hand is highly underactuated, three motors drive 19 joints via elastic tendons. Thanks to its particular mechanical design, the hand can perform not only adaptive grasps but also in-hand manipulation. Each fingertip integrates a tactile/force sensor, based on optoelectronic technology, to provide tactile/force feedback during grasping and manipulation, particularly useful with deformable objects. The paper briefly describes the mechanical design and sensor technology of the hand and proposes a calibration procedure for tactile/force sensors. A comparison between different models of Neural Networks architectures, suitable for sensors calibration, is shown. Experimental tests are provided to choose the optimal tactile sensing suite. Finally, experiments for the regulation of the forces are made to show the effectiveness of calibrated sensors.</description><identifier>EISSN: 2159-6255</identifier><identifier>EISBN: 1665441399</identifier><identifier>EISBN: 9781665441391</identifier><identifier>DOI: 10.1109/AIM46487.2021.9517508</identifier><language>eng</language><publisher>IEEE</publisher><subject>Calibration ; force regulation ; force/tactile sensors ; Grasping ; Neural networks ; neural networks models ; Regulation ; Robot sensing systems ; robotic hand ; Sports equipment ; Tactile sensors</subject><ispartof>2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, p.442-447</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9517508$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,786,790,795,796,23958,23959,25170,27958,54906,55283</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9517508$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Canbay, D.E.</creatorcontrib><creatorcontrib>Ferrentino, P.</creatorcontrib><creatorcontrib>Liu, H.</creatorcontrib><creatorcontrib>Moccia, R.</creatorcontrib><creatorcontrib>Pirozzi, S.</creatorcontrib><creatorcontrib>Siciliano, B.</creatorcontrib><creatorcontrib>Ficuciello, F.</creatorcontrib><title>Calibration of tactile/force sensors for grasping with the PRISMA Hand II</title><title>2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</title><addtitle>AIM</addtitle><description>The PRISMA Hand II is a mechanically robust anthropomorphic hand developed at PRISMA Lab, University of Naples Federico II. The hand is highly underactuated, three motors drive 19 joints via elastic tendons. Thanks to its particular mechanical design, the hand can perform not only adaptive grasps but also in-hand manipulation. Each fingertip integrates a tactile/force sensor, based on optoelectronic technology, to provide tactile/force feedback during grasping and manipulation, particularly useful with deformable objects. The paper briefly describes the mechanical design and sensor technology of the hand and proposes a calibration procedure for tactile/force sensors. A comparison between different models of Neural Networks architectures, suitable for sensors calibration, is shown. Experimental tests are provided to choose the optimal tactile sensing suite. Finally, experiments for the regulation of the forces are made to show the effectiveness of calibrated sensors.</description><subject>Calibration</subject><subject>force regulation</subject><subject>force/tactile sensors</subject><subject>Grasping</subject><subject>Neural networks</subject><subject>neural networks models</subject><subject>Regulation</subject><subject>Robot sensing systems</subject><subject>robotic hand</subject><subject>Sports equipment</subject><subject>Tactile sensors</subject><issn>2159-6255</issn><isbn>1665441399</isbn><isbn>9781665441391</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKw0AUQEdBsNZ-gQjzA0nvnVcyyxDUBloUH-symdxpR2JSMgHx7xXs6nA2Bw5j9wg5Ith11eyUUWWRCxCYW42FhvKC3aAxWimU1l6yhUBtMyO0vmarlD4BAKHUQsgFa2rXx3ZycxwHPgY-Oz_HntZhnDzxREMap8T_jB8ml05xOPDvOB_5fCT-8tq87Sq-cUPHm-aWXQXXJ1qduWQfjw_v9SbbPj81dbXNogA5Z63pOnRovQ5FF5QUGjEEK5A8gRFCYYDCW9CgwJMxQRWEnfDSoWplQXLJ7v67kYj2pyl-uelnfz6XvyLeTD0</recordid><startdate>20210712</startdate><enddate>20210712</enddate><creator>Canbay, D.E.</creator><creator>Ferrentino, P.</creator><creator>Liu, H.</creator><creator>Moccia, R.</creator><creator>Pirozzi, S.</creator><creator>Siciliano, B.</creator><creator>Ficuciello, F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20210712</creationdate><title>Calibration of tactile/force sensors for grasping with the PRISMA Hand II</title><author>Canbay, D.E. ; Ferrentino, P. ; Liu, H. ; Moccia, R. ; Pirozzi, S. ; Siciliano, B. ; Ficuciello, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-b6dd1a19c5f7df432511ff921ece062241f07c905040ce66f47e1d2c3a14b37e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Calibration</topic><topic>force regulation</topic><topic>force/tactile sensors</topic><topic>Grasping</topic><topic>Neural networks</topic><topic>neural networks models</topic><topic>Regulation</topic><topic>Robot sensing systems</topic><topic>robotic hand</topic><topic>Sports equipment</topic><topic>Tactile sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Canbay, D.E.</creatorcontrib><creatorcontrib>Ferrentino, P.</creatorcontrib><creatorcontrib>Liu, H.</creatorcontrib><creatorcontrib>Moccia, R.</creatorcontrib><creatorcontrib>Pirozzi, S.</creatorcontrib><creatorcontrib>Siciliano, B.</creatorcontrib><creatorcontrib>Ficuciello, F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Canbay, D.E.</au><au>Ferrentino, P.</au><au>Liu, H.</au><au>Moccia, R.</au><au>Pirozzi, S.</au><au>Siciliano, B.</au><au>Ficuciello, F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Calibration of tactile/force sensors for grasping with the PRISMA Hand II</atitle><btitle>2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</btitle><stitle>AIM</stitle><date>2021-07-12</date><risdate>2021</risdate><spage>442</spage><epage>447</epage><pages>442-447</pages><eissn>2159-6255</eissn><eisbn>1665441399</eisbn><eisbn>9781665441391</eisbn><abstract>The PRISMA Hand II is a mechanically robust anthropomorphic hand developed at PRISMA Lab, University of Naples Federico II. The hand is highly underactuated, three motors drive 19 joints via elastic tendons. Thanks to its particular mechanical design, the hand can perform not only adaptive grasps but also in-hand manipulation. Each fingertip integrates a tactile/force sensor, based on optoelectronic technology, to provide tactile/force feedback during grasping and manipulation, particularly useful with deformable objects. The paper briefly describes the mechanical design and sensor technology of the hand and proposes a calibration procedure for tactile/force sensors. A comparison between different models of Neural Networks architectures, suitable for sensors calibration, is shown. Experimental tests are provided to choose the optimal tactile sensing suite. Finally, experiments for the regulation of the forces are made to show the effectiveness of calibrated sensors.</abstract><pub>IEEE</pub><doi>10.1109/AIM46487.2021.9517508</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISSN: 2159-6255 |
ispartof | 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, p.442-447 |
issn | 2159-6255 |
language | eng |
recordid | cdi_ieee_primary_9517508 |
source | IEEE Xplore All Conference Series |
subjects | Calibration force regulation force/tactile sensors Grasping Neural networks neural networks models Regulation Robot sensing systems robotic hand Sports equipment Tactile sensors |
title | Calibration of tactile/force sensors for grasping with the PRISMA Hand II |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T17%3A24%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Calibration%20of%20tactile/force%20sensors%20for%20grasping%20with%20the%20PRISMA%20Hand%20II&rft.btitle=2021%20IEEE/ASME%20International%20Conference%20on%20Advanced%20Intelligent%20Mechatronics%20(AIM)&rft.au=Canbay,%20D.E.&rft.date=2021-07-12&rft.spage=442&rft.epage=447&rft.pages=442-447&rft.eissn=2159-6255&rft_id=info:doi/10.1109/AIM46487.2021.9517508&rft.eisbn=1665441399&rft.eisbn_list=9781665441391&rft_dat=%3Cieee_CHZPO%3E9517508%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i203t-b6dd1a19c5f7df432511ff921ece062241f07c905040ce66f47e1d2c3a14b37e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=9517508&rfr_iscdi=true |