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A novel method to implement an interactive mobile robot
This paper presents a novel method to implement an interactive mobile robot. The proposed mobile robot is implemented under the technique of mixed reality. The mixed reality technique is realized by both the Virtools tool and mobile robot. There are three basic interactive behaviors of human beings...
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creator | Wen-Yo Lee Jhu-Syuan Guo Chan-An Pao Ta-Chih Hung |
description | This paper presents a novel method to implement an interactive mobile robot. The proposed mobile robot is implemented under the technique of mixed reality. The mixed reality technique is realized by both the Virtools tool and mobile robot. There are three basic interactive behaviors of human beings have been implemented on this proposed mobile robot. There are target navigation behavior, face tracking behavior, and obstacle avoidance behavior; the three behaviors are designed by the fuzzy rules method, respectively. These behaviors lead to the proposed path planning strategy possibly. On the other hand, a novel path planning strategy for a mobile robot is given in this paper. The path planning strategy is according to the experience that the mobile robot has been experienced in target navigation. Experiments show that the proposed behaviors are well designed. With the basic ability of the behaviors, the proposed robot can automatically learn from the previous navigation experience and can optimize the path planning. |
doi_str_mv | 10.1109/ARSO.2009.5587064 |
format | conference_proceeding |
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The proposed mobile robot is implemented under the technique of mixed reality. The mixed reality technique is realized by both the Virtools tool and mobile robot. There are three basic interactive behaviors of human beings have been implemented on this proposed mobile robot. There are target navigation behavior, face tracking behavior, and obstacle avoidance behavior; the three behaviors are designed by the fuzzy rules method, respectively. These behaviors lead to the proposed path planning strategy possibly. On the other hand, a novel path planning strategy for a mobile robot is given in this paper. The path planning strategy is according to the experience that the mobile robot has been experienced in target navigation. Experiments show that the proposed behaviors are well designed. 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With the basic ability of the behaviors, the proposed robot can automatically learn from the previous navigation experience and can optimize the path planning.</description><subject>Face</subject><subject>Humans</subject><subject>Mobile robots</subject><subject>Navigation</subject><subject>Robot sensing systems</subject><issn>2162-7568</issn><issn>2162-7576</issn><isbn>1424443938</isbn><isbn>9781424443932</isbn><isbn>9781424443949</isbn><isbn>1424443946</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMlKA0EURcshYBLzAeKmfqDjq6pXw1s2wQkCAc0-9PAaS3oInSLg3xsxurqLA4fDFeJOwVIpoIf87X2z1AC0tDZ4cHghFuSDQo2IhpAuxVQrpzNvvbsSsz9gwvU_cGEiZj8OAu2DvxGLw-ETABQEq02YCp_LfjhyKztOH0Mt0yBjt2-54z7JopexTzwWVYpHlt1QxpblOJRDuhWTpmgPvDjvXGyfHrerl2y9eX5d5essEqQM6dSGNSFUdY321ACqRFUpA-g0K8NMhbUq-JKw4sI0DYWaHVZNyeSUmYv7X21k5t1-jF0xfu3Of5hv2-dMSQ</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>Wen-Yo Lee</creator><creator>Jhu-Syuan Guo</creator><creator>Chan-An Pao</creator><creator>Ta-Chih Hung</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200911</creationdate><title>A novel method to implement an interactive mobile robot</title><author>Wen-Yo Lee ; Jhu-Syuan Guo ; Chan-An Pao ; Ta-Chih Hung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-497574d940cdd4502701b41c130462e13ee9a55187b94cea3ff98de64cfbe9613</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Face</topic><topic>Humans</topic><topic>Mobile robots</topic><topic>Navigation</topic><topic>Robot sensing systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Wen-Yo Lee</creatorcontrib><creatorcontrib>Jhu-Syuan Guo</creatorcontrib><creatorcontrib>Chan-An Pao</creatorcontrib><creatorcontrib>Ta-Chih Hung</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 Electronic Library (IEL)</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>Wen-Yo Lee</au><au>Jhu-Syuan Guo</au><au>Chan-An Pao</au><au>Ta-Chih Hung</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A novel method to implement an interactive mobile robot</atitle><btitle>2009 IEEE Workshop on Advanced Robotics and its Social Impacts</btitle><stitle>ARSO</stitle><date>2009-11</date><risdate>2009</risdate><spage>98</spage><epage>103</epage><pages>98-103</pages><issn>2162-7568</issn><eissn>2162-7576</eissn><isbn>1424443938</isbn><isbn>9781424443932</isbn><eisbn>9781424443949</eisbn><eisbn>1424443946</eisbn><abstract>This paper presents a novel method to implement an interactive mobile robot. The proposed mobile robot is implemented under the technique of mixed reality. The mixed reality technique is realized by both the Virtools tool and mobile robot. There are three basic interactive behaviors of human beings have been implemented on this proposed mobile robot. There are target navigation behavior, face tracking behavior, and obstacle avoidance behavior; the three behaviors are designed by the fuzzy rules method, respectively. These behaviors lead to the proposed path planning strategy possibly. On the other hand, a novel path planning strategy for a mobile robot is given in this paper. The path planning strategy is according to the experience that the mobile robot has been experienced in target navigation. Experiments show that the proposed behaviors are well designed. 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ispartof | 2009 IEEE Workshop on Advanced Robotics and its Social Impacts, 2009, p.98-103 |
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source | IEEE Xplore All Conference Series |
subjects | Face Humans Mobile robots Navigation Robot sensing systems |
title | A novel method to implement an interactive mobile robot |
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