The Position Estimation of Mobile Robot Under Dynamic Environment
Localization is most important and necessary technology for mobile robot to work well. The robots need to recognize their position and pose in known environment as well as unknown environment. In the future, the robots will be human-friendly robots that are able to coexist with humans in dynamic spa...
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| creator | Byoung-Suk Choi Ju-Jang Lee |
| description | Localization is most important and necessary technology for mobile robot to work well. The robots need to recognize their position and pose in known environment as well as unknown environment. In the future, the robots will be human-friendly robots that are able to coexist with humans in dynamic space. The localization includes several restrictions which arise from dynamic obstacles - people, moving chair, and so on. It is desirable for a mobile robot to estimate his position using dynamic obstacles. In this paper, we propose the method for the localization of the mobile robot using a moving object. Throughout the computer simulation experiments, its performance is verified. |
| doi_str_mv | 10.1109/IECON.2007.4460261 |
| format | Conference Proceeding |
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The robots need to recognize their position and pose in known environment as well as unknown environment. In the future, the robots will be human-friendly robots that are able to coexist with humans in dynamic space. The localization includes several restrictions which arise from dynamic obstacles - people, moving chair, and so on. It is desirable for a mobile robot to estimate his position using dynamic obstacles. In this paper, we propose the method for the localization of the mobile robot using a moving object. Throughout the computer simulation experiments, its performance is verified.</description><subject>Computer simulation</subject><subject>Dead reckoning</subject><subject>Mobile robots</subject><subject>Object detection</subject><subject>Orbital robotics</subject><subject>Robot sensing systems</subject><subject>Satellite navigation systems</subject><subject>Sonar detection</subject><subject>Space technology</subject><subject>Uncertainty</subject><issn>1553-572X</issn><isbn>1424407834</isbn><isbn>9781424407835</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KAzEYRQMqWGtfQDd5gRm__CfLMo5aqFakBXclyWQw0klkMgh9e0W7umd1OBehGwI1IWDuVm2zeakpgKo5l0AlOUNXhFPOQWnGz9GMCMEqoej7JVqU8gkAxEithZqh5fYj4Ndc4hRzwm2Z4mD_MPf4Obt4CPgtuzzhXerCiO-PyQ7R4zZ9xzGnIaTpGl309lDC4rRztHtot81Ttd48rprluopEianqQIJiklBlXBe4dR6kF5p1RPfaG6M6z6j3PQfmvJUWRK-1NNZykIGAY3N0---NIYT91_gbOh73p8fsB2DLShY</recordid><startdate>200711</startdate><enddate>200711</enddate><creator>Byoung-Suk Choi</creator><creator>Ju-Jang Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200711</creationdate><title>The Position Estimation of Mobile Robot Under Dynamic Environment</title><author>Byoung-Suk Choi ; Ju-Jang Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-d0607361279bde4abc06c583d18f8c997dc32ccf403bca6a05f8869aa406e10b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Computer simulation</topic><topic>Dead reckoning</topic><topic>Mobile robots</topic><topic>Object detection</topic><topic>Orbital robotics</topic><topic>Robot sensing systems</topic><topic>Satellite navigation systems</topic><topic>Sonar detection</topic><topic>Space technology</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Byoung-Suk Choi</creatorcontrib><creatorcontrib>Ju-Jang Lee</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Byoung-Suk Choi</au><au>Ju-Jang Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Position Estimation of Mobile Robot Under Dynamic Environment</atitle><btitle>IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society</btitle><stitle>IECON</stitle><date>2007-11</date><risdate>2007</risdate><spage>134</spage><epage>138</epage><pages>134-138</pages><issn>1553-572X</issn><isbn>1424407834</isbn><isbn>9781424407835</isbn><abstract>Localization is most important and necessary technology for mobile robot to work well. The robots need to recognize their position and pose in known environment as well as unknown environment. In the future, the robots will be human-friendly robots that are able to coexist with humans in dynamic space. The localization includes several restrictions which arise from dynamic obstacles - people, moving chair, and so on. It is desirable for a mobile robot to estimate his position using dynamic obstacles. In this paper, we propose the method for the localization of the mobile robot using a moving object. Throughout the computer simulation experiments, its performance is verified.</abstract><pub>IEEE</pub><doi>10.1109/IECON.2007.4460261</doi><tpages>5</tpages></addata></record> |
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| identifier | ISSN: 1553-572X |
| ispartof | IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007, p.134-138 |
| issn | 1553-572X |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer simulation Dead reckoning Mobile robots Object detection Orbital robotics Robot sensing systems Satellite navigation systems Sonar detection Space technology Uncertainty |
| title | The Position Estimation of Mobile Robot Under Dynamic Environment |
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