Semantic Localization of a Robot in a Real Home
In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the field of the semantic location of the mobile robot, we pro- pose to implement...
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| Další autoři: | , , |
| Médium: | article |
| Jazyk: | angličtina |
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2020
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| Témata: | |
| On-line přístup: | https://link.springer.com/chapter/10.1007/978-3-319-99885-5_1 https://ridda2.utp.ac.pa/handle/123456789/9446 |
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| _version_ | 1869652459522097152 |
|---|---|
| author | Bauer, Zuria |
| author2 | Rangel, José Carlos Cazorla, Miguel Gomez Donoso, Francisco |
| author2_role | author author author |
| author_browse | Bauer, Zuria Cazorla, Miguel Gomez Donoso, Francisco Rangel, José Carlos |
| author_facet | Bauer, Zuria Rangel, José Carlos Cazorla, Miguel Gomez Donoso, Francisco |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Bauer, Zuria Rangel, José Carlos Cazorla, Miguel Gomez Donoso, Francisco |
| dc.date.none.fl_str_mv | 11/21/2018 11/21/2018 2020-01-06T14:31:20Z 2020-01-06T14:31:20Z 2020-01-06T14:31:20Z 2020-01-06T14:31:20Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://link.springer.com/chapter/10.1007/978-3-319-99885-5_1 https://ridda2.utp.ac.pa/handle/123456789/9446 https://ridda2.utp.ac.pa/handle/123456789/9446 |
| dc.language.none.fl_str_mv | eng eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Robotics Deep learning Semantic localization CNN training Neural networks Robotics Deep learning Semantic localization CNN training Neural networks |
| dc.title.none.fl_str_mv | Semantic Localization of a Robot in a Real Home |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the field of the semantic location of the mobile robot, we pro- pose to implement a methodology of recognition and scene learning in a real domestic environment. For this purpose, we used images from five different residences to create a dataset with which the base model was trained. The effectiveness of the implemented base model is evaluated in different scenarios. When the accuracy of the site identification decreases, the user provides feedback to the robot so that it can process the information collected from the new environment and re-identify the current location. The results obtained reinforce the need to acquire more knowledge when the environment is not recognizable by the pre-trained model. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_337d887abf4a84a9046d0f57eee35a7a |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/9446 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Semantic Localization of a Robot in a Real HomeBauer, ZuriaRangel, José CarlosCazorla, MiguelGomez Donoso, FranciscoRoboticsDeep learningSemantic localizationCNN trainingNeural networksRoboticsDeep learningSemantic localizationCNN trainingNeural networksIn social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the field of the semantic location of the mobile robot, we pro- pose to implement a methodology of recognition and scene learning in a real domestic environment. For this purpose, we used images from five different residences to create a dataset with which the base model was trained. The effectiveness of the implemented base model is evaluated in different scenarios. When the accuracy of the site identification decreases, the user provides feedback to the robot so that it can process the information collected from the new environment and re-identify the current location. The results obtained reinforce the need to acquire more knowledge when the environment is not recognizable by the pre-trained model.In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the field of the semantic location of the mobile robot, we pro- pose to implement a methodology of recognition and scene learning in a real domestic environment. For this purpose, we used images from five different residences to create a dataset with which the base model was trained. The effectiveness of the implemented base model is evaluated in different scenarios. When the accuracy of the site identification decreases, the user provides feedback to the robot so that it can process the information collected from the new environment and re-identify the current location. The results obtained reinforce the need to acquire more knowledge when the environment is not recognizable by the pre-trained model.2020-01-06T14:31:20Z2020-01-06T14:31:20Z2020-01-06T14:31:20Z2020-01-06T14:31:20Z11/21/201811/21/2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://link.springer.com/chapter/10.1007/978-3-319-99885-5_1https://ridda2.utp.ac.pa/handle/123456789/9446https://ridda2.utp.ac.pa/handle/123456789/9446engenginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/94462021-07-06T15:35:10Z |
| spellingShingle | Semantic Localization of a Robot in a Real Home Bauer, Zuria Robotics Deep learning Semantic localization CNN training Neural networks Robotics Deep learning Semantic localization CNN training Neural networks |
| status_str | publishedVersion |
| title | Semantic Localization of a Robot in a Real Home |
| title_full | Semantic Localization of a Robot in a Real Home |
| title_fullStr | Semantic Localization of a Robot in a Real Home |
| title_full_unstemmed | Semantic Localization of a Robot in a Real Home |
| title_short | Semantic Localization of a Robot in a Real Home |
| title_sort | Semantic Localization of a Robot in a Real Home |
| topic | Robotics Deep learning Semantic localization CNN training Neural networks Robotics Deep learning Semantic localization CNN training Neural networks |
| url | https://link.springer.com/chapter/10.1007/978-3-319-99885-5_1 https://ridda2.utp.ac.pa/handle/123456789/9446 |