Training AIBO like a dog - preliminary results
This work describes a method to facilitate human adaptation to a pet robot. A pet robot learns which behavior it could execute when stimulus are given and a human user learns how to give commands to the robot through its various sensors. A pet robot utilizes a computational classical conditioning mo...
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creator | Seiji, Y. Tomohiro, Y. |
description | This work describes a method to facilitate human adaptation to a pet robot. A pet robot learns which behavior it could execute when stimulus are given and a human user learns how to give commands to the robot through its various sensors. A pet robot utilizes a computational classical conditioning model for learning to interpret human's commands. We propose and implement such a mutual adaptation framework, and develop like-dog heuristics to facilitate the human's adaptation to a pet robot AIBO. Finally we evaluate the heuristics through preliminary experiments. |
doi_str_mv | 10.1109/ROMAN.2004.1374799 |
format | Conference Proceeding |
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A pet robot learns which behavior it could execute when stimulus are given and a human user learns how to give commands to the robot through its various sensors. A pet robot utilizes a computational classical conditioning model for learning to interpret human's commands. We propose and implement such a mutual adaptation framework, and develop like-dog heuristics to facilitate the human's adaptation to a pet robot AIBO. Finally we evaluate the heuristics through preliminary experiments.</description><identifier>ISBN: 0780385705</identifier><identifier>ISBN: 9780780385702</identifier><identifier>DOI: 10.1109/ROMAN.2004.1374799</identifier><language>eng</language><publisher>Piscataway NJ: IEEE</publisher><subject>Algorithm design and analysis ; Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Control theory. 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A pet robot learns which behavior it could execute when stimulus are given and a human user learns how to give commands to the robot through its various sensors. A pet robot utilizes a computational classical conditioning model for learning to interpret human's commands. We propose and implement such a mutual adaptation framework, and develop like-dog heuristics to facilitate the human's adaptation to a pet robot AIBO. Finally we evaluate the heuristics through preliminary experiments.</description><subject>Algorithm design and analysis</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Control theory. Systems</subject><subject>Educational institutions</subject><subject>Educational robots</subject><subject>Exact sciences and technology</subject><subject>Human robot interaction</subject><subject>Humanoid robots</subject><subject>Informatics</subject><subject>Positron emission tomography</subject><subject>Robot sensing systems</subject><subject>Robotics</subject><subject>Software</subject><subject>Tactile sensors</subject><subject>Temperature sensors</subject><isbn>0780385705</isbn><isbn>9780780385702</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj09LxDAUxAMiqOt-Ab3k4rH1vfzpa4510XVhtSDreQlNskS7tSTrwW9voYJzmcP8GGYYu0EoEcHcv7UvzWspAFSJkhQZc8augGqQtSbQF2yZ8wdMkqZCQZes3CUbhzgceLN5aHkfPz233H0deMHH5Pt4jINNPzz5_N2f8jU7D7bPfvnnC_b-9LhbPRfbdr1ZNdsiIplTQSA74yoS4EFYESpyNdQoq0oqjco48qp26NEYo7UOIaCpnaEgOqtBBLlgd3PvaHNn-5Ds0MW8H1M8Tmv2SFIpqfXE3c5c9N7_x_N1-Qt81kwB</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Seiji, Y.</creator><creator>Tomohiro, Y.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Training AIBO like a dog - preliminary results</title><author>Seiji, Y. ; Tomohiro, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i179t-703c9d6720e02a2f67d8081366345149d7e48d1e1999555fff198d97f2ca502f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithm design and analysis</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Control theory. Systems</topic><topic>Educational institutions</topic><topic>Educational robots</topic><topic>Exact sciences and technology</topic><topic>Human robot interaction</topic><topic>Humanoid robots</topic><topic>Informatics</topic><topic>Positron emission tomography</topic><topic>Robot sensing systems</topic><topic>Robotics</topic><topic>Software</topic><topic>Tactile sensors</topic><topic>Temperature sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Seiji, Y.</creatorcontrib><creatorcontrib>Tomohiro, Y.</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><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Seiji, Y.</au><au>Tomohiro, Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Training AIBO like a dog - preliminary results</atitle><btitle>RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759)</btitle><stitle>ROMAN</stitle><date>2004</date><risdate>2004</risdate><spage>431</spage><epage>436</epage><pages>431-436</pages><isbn>0780385705</isbn><isbn>9780780385702</isbn><abstract>This work describes a method to facilitate human adaptation to a pet robot. A pet robot learns which behavior it could execute when stimulus are given and a human user learns how to give commands to the robot through its various sensors. A pet robot utilizes a computational classical conditioning model for learning to interpret human's commands. We propose and implement such a mutual adaptation framework, and develop like-dog heuristics to facilitate the human's adaptation to a pet robot AIBO. Finally we evaluate the heuristics through preliminary experiments.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/ROMAN.2004.1374799</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithm design and analysis Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Control theory. Systems Educational institutions Educational robots Exact sciences and technology Human robot interaction Humanoid robots Informatics Positron emission tomography Robot sensing systems Robotics Software Tactile sensors Temperature sensors |
title | Training AIBO like a dog - preliminary results |
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