Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017
This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known...
Gespeichert in:
Veröffentlicht in: | Journal of field robotics 2019-05, Vol.36 (3), p.517-530 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 530 |
---|---|
container_issue | 3 |
container_start_page | 517 |
container_title | Journal of field robotics |
container_volume | 36 |
creator | Bilberg, Christopher Prinds Witting, Christian Aamand Andersen, Nils Axel Ravn, Ole |
description | This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known environment to localize and manipulate a valve on a panel. To solve the given problem, the robot needs to be able to perceive the environment reliably. This is often accomplished using vision based solutions, however these might not always be feasible. Thus we show how force feedback can successfully be used as an alternative way of perception. To accomplish this the team equipped a robot arm with a force torque sensor, allowing the robot to perceive its environment through direct contact. This approach resulted in a robust solution of the task, independent of several external factors, such as lighting, which might affect a more traditional approach. First the theory and thoughts behind the implementation is presented, followed by an evaluation of the results from physical experiments and the competition itself, ultimately resulting in a robust solution which performed without errors in the competition. |
doi_str_mv | 10.1002/rob.21836 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2202966232</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2202966232</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2576-37c494934d83b86afa65b58a1056cae3ca0352a9ccce7b11f31d1c83b84ae9943</originalsourceid><addsrcrecordid>eNp1kM9Kw0AQhxdRsFYPvsGCJ8G0-z_Zo22tFiqV0l68LJvNRlOabNxNkd58BJ_RJzE14s3TzPz4ZgY-AC4xGmCEyNC7dEBwQsUR6GHORcSkiI__ei5PwVkIG4QYTSTvgaep88Z-fXymOtgM1rad6qZwFdRVBktdFfVuqw_BDWxeLZys1rCxuoTGlbVtiuoFFhV8HD3PlmNIEI7PwUmut8Fe_NY-WE_vVuOHaL64n41v55EhPBYRjQ2TTFKWJTRNhM614ClPNEZcGG2p0YhyoqUxxsYpxjnFGTYHlmkrJaN9cNXdrb1729nQqI3b-ap9qQhBRApBKGmp644y3oXgba5qX5Ta7xVG6iBMtcLUj7CWHXbse7G1-_9BtVyMuo1voG1reg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2202966232</pqid></control><display><type>article</type><title>Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017</title><source>Access via Wiley Online Library</source><creator>Bilberg, Christopher Prinds ; Witting, Christian Aamand ; Andersen, Nils Axel ; Ravn, Ole</creator><creatorcontrib>Bilberg, Christopher Prinds ; Witting, Christian Aamand ; Andersen, Nils Axel ; Ravn, Ole</creatorcontrib><description>This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known environment to localize and manipulate a valve on a panel. To solve the given problem, the robot needs to be able to perceive the environment reliably. This is often accomplished using vision based solutions, however these might not always be feasible. Thus we show how force feedback can successfully be used as an alternative way of perception. To accomplish this the team equipped a robot arm with a force torque sensor, allowing the robot to perceive its environment through direct contact. This approach resulted in a robust solution of the task, independent of several external factors, such as lighting, which might affect a more traditional approach. First the theory and thoughts behind the implementation is presented, followed by an evaluation of the results from physical experiments and the competition itself, ultimately resulting in a robust solution which performed without errors in the competition.</description><identifier>ISSN: 1556-4959</identifier><identifier>EISSN: 1556-4967</identifier><identifier>DOI: 10.1002/rob.21836</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Competition ; control ; force feedback ; mobile manipulation ; Perception ; Robot arms ; Robotics ; Robots ; Robustness (mathematics) ; Torque sensors (robotics) ; wheeled robots</subject><ispartof>Journal of field robotics, 2019-05, Vol.36 (3), p.517-530</ispartof><rights>2018 Wiley Periodicals, Inc.</rights><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2576-37c494934d83b86afa65b58a1056cae3ca0352a9ccce7b11f31d1c83b84ae9943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Frob.21836$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Frob.21836$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Bilberg, Christopher Prinds</creatorcontrib><creatorcontrib>Witting, Christian Aamand</creatorcontrib><creatorcontrib>Andersen, Nils Axel</creatorcontrib><creatorcontrib>Ravn, Ole</creatorcontrib><title>Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017</title><title>Journal of field robotics</title><description>This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known environment to localize and manipulate a valve on a panel. To solve the given problem, the robot needs to be able to perceive the environment reliably. This is often accomplished using vision based solutions, however these might not always be feasible. Thus we show how force feedback can successfully be used as an alternative way of perception. To accomplish this the team equipped a robot arm with a force torque sensor, allowing the robot to perceive its environment through direct contact. This approach resulted in a robust solution of the task, independent of several external factors, such as lighting, which might affect a more traditional approach. First the theory and thoughts behind the implementation is presented, followed by an evaluation of the results from physical experiments and the competition itself, ultimately resulting in a robust solution which performed without errors in the competition.</description><subject>Competition</subject><subject>control</subject><subject>force feedback</subject><subject>mobile manipulation</subject><subject>Perception</subject><subject>Robot arms</subject><subject>Robotics</subject><subject>Robots</subject><subject>Robustness (mathematics)</subject><subject>Torque sensors (robotics)</subject><subject>wheeled robots</subject><issn>1556-4959</issn><issn>1556-4967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kM9Kw0AQhxdRsFYPvsGCJ8G0-z_Zo22tFiqV0l68LJvNRlOabNxNkd58BJ_RJzE14s3TzPz4ZgY-AC4xGmCEyNC7dEBwQsUR6GHORcSkiI__ei5PwVkIG4QYTSTvgaep88Z-fXymOtgM1rad6qZwFdRVBktdFfVuqw_BDWxeLZys1rCxuoTGlbVtiuoFFhV8HD3PlmNIEI7PwUmut8Fe_NY-WE_vVuOHaL64n41v55EhPBYRjQ2TTFKWJTRNhM614ClPNEZcGG2p0YhyoqUxxsYpxjnFGTYHlmkrJaN9cNXdrb1729nQqI3b-ap9qQhBRApBKGmp644y3oXgba5qX5Ta7xVG6iBMtcLUj7CWHXbse7G1-_9BtVyMuo1voG1reg</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Bilberg, Christopher Prinds</creator><creator>Witting, Christian Aamand</creator><creator>Andersen, Nils Axel</creator><creator>Ravn, Ole</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201905</creationdate><title>Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017</title><author>Bilberg, Christopher Prinds ; Witting, Christian Aamand ; Andersen, Nils Axel ; Ravn, Ole</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2576-37c494934d83b86afa65b58a1056cae3ca0352a9ccce7b11f31d1c83b84ae9943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Competition</topic><topic>control</topic><topic>force feedback</topic><topic>mobile manipulation</topic><topic>Perception</topic><topic>Robot arms</topic><topic>Robotics</topic><topic>Robots</topic><topic>Robustness (mathematics)</topic><topic>Torque sensors (robotics)</topic><topic>wheeled robots</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bilberg, Christopher Prinds</creatorcontrib><creatorcontrib>Witting, Christian Aamand</creatorcontrib><creatorcontrib>Andersen, Nils Axel</creatorcontrib><creatorcontrib>Ravn, Ole</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of field robotics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bilberg, Christopher Prinds</au><au>Witting, Christian Aamand</au><au>Andersen, Nils Axel</au><au>Ravn, Ole</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017</atitle><jtitle>Journal of field robotics</jtitle><date>2019-05</date><risdate>2019</risdate><volume>36</volume><issue>3</issue><spage>517</spage><epage>530</epage><pages>517-530</pages><issn>1556-4959</issn><eissn>1556-4967</eissn><abstract>This paper presents how the team from the Technical University of Denmark (DTU) implemented and solved the second challenge of the Mohamed Bin Zayed International Robotics Challenge. The competition was imitating a disaster scene where a robotic platform had to operate autonomously in a partly known environment to localize and manipulate a valve on a panel. To solve the given problem, the robot needs to be able to perceive the environment reliably. This is often accomplished using vision based solutions, however these might not always be feasible. Thus we show how force feedback can successfully be used as an alternative way of perception. To accomplish this the team equipped a robot arm with a force torque sensor, allowing the robot to perceive its environment through direct contact. This approach resulted in a robust solution of the task, independent of several external factors, such as lighting, which might affect a more traditional approach. First the theory and thoughts behind the implementation is presented, followed by an evaluation of the results from physical experiments and the competition itself, ultimately resulting in a robust solution which performed without errors in the competition.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/rob.21836</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1556-4959 |
ispartof | Journal of field robotics, 2019-05, Vol.36 (3), p.517-530 |
issn | 1556-4959 1556-4967 |
language | eng |
recordid | cdi_proquest_journals_2202966232 |
source | Access via Wiley Online Library |
subjects | Competition control force feedback mobile manipulation Perception Robot arms Robotics Robots Robustness (mathematics) Torque sensors (robotics) wheeled robots |
title | Force‐based perception and manipulation, the DTU team competing in MBZIRC 2017 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T21%3A21%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Force%E2%80%90based%20perception%20and%20manipulation,%20the%20DTU%20team%20competing%20in%20MBZIRC%202017&rft.jtitle=Journal%20of%20field%20robotics&rft.au=Bilberg,%20Christopher%20Prinds&rft.date=2019-05&rft.volume=36&rft.issue=3&rft.spage=517&rft.epage=530&rft.pages=517-530&rft.issn=1556-4959&rft.eissn=1556-4967&rft_id=info:doi/10.1002/rob.21836&rft_dat=%3Cproquest_cross%3E2202966232%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2202966232&rft_id=info:pmid/&rfr_iscdi=true |