HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot
To advance robotics toward real-world applications, a growing body of research has focused on the development of control systems for humanoid robots in recent years. Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by ob...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2010/241785 |
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| _version_ | 1832548595900874752 |
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| author | Fady Alnajjar Abdul Rahman Hafiz Kazuyuki Murase |
| author_facet | Fady Alnajjar Abdul Rahman Hafiz Kazuyuki Murase |
| author_sort | Fady Alnajjar |
| collection | DOAJ |
| description | To advance robotics toward real-world applications, a growing body of research has focused on the development of control systems for humanoid robots in recent years. Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by observing and/or receiving direct guidance from a human or even another robot. These approaches require dynamic learning and memorization techniques, which the robot can use to reform and update its internal systems continuously while learning new behaviors. Against this background, this study investigates a new approach to the development of an incremental learning and memorization model. This approach was inspired by the principles of neuroscience, and the developed model was named “Hierarchical Constructive Backpropagation with Memory” (HCBPM). The validity of the model was tested by teaching a humanoid robot to recognize a group of objects through natural interaction. The experimental results indicate that the proposed model efficiently enhances real-time machine learning in general and can be used to establish an environment suitable for social learning between the robot and the user in particular. |
| format | Article |
| id | doaj-art-344a2ffd744c4a299edc08cf97dadc44 |
| institution | Kabale University |
| issn | 1687-9600 1687-9619 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-344a2ffd744c4a299edc08cf97dadc442025-02-03T06:13:36ZengWileyJournal of Robotics1687-96001687-96192010-01-01201010.1155/2010/241785241785HCBPM: An Idea toward a Social Learning Environment for Humanoid RobotFady Alnajjar0Abdul Rahman Hafiz1Kazuyuki Murase2Department of System Design Engineering, Graduate School of Engineering, University of Fukui, Fukui 910-8507, JapanDepartment of Human and Artificial Intelligence Systems, University of Fukui, Fukui 910-8507, JapanDepartment of System Design Engineering, Graduate School of Engineering, University of Fukui, Fukui 910-8507, JapanTo advance robotics toward real-world applications, a growing body of research has focused on the development of control systems for humanoid robots in recent years. Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by observing and/or receiving direct guidance from a human or even another robot. These approaches require dynamic learning and memorization techniques, which the robot can use to reform and update its internal systems continuously while learning new behaviors. Against this background, this study investigates a new approach to the development of an incremental learning and memorization model. This approach was inspired by the principles of neuroscience, and the developed model was named “Hierarchical Constructive Backpropagation with Memory” (HCBPM). The validity of the model was tested by teaching a humanoid robot to recognize a group of objects through natural interaction. The experimental results indicate that the proposed model efficiently enhances real-time machine learning in general and can be used to establish an environment suitable for social learning between the robot and the user in particular.http://dx.doi.org/10.1155/2010/241785 |
| spellingShingle | Fady Alnajjar Abdul Rahman Hafiz Kazuyuki Murase HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot Journal of Robotics |
| title | HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot |
| title_full | HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot |
| title_fullStr | HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot |
| title_full_unstemmed | HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot |
| title_short | HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot |
| title_sort | hcbpm an idea toward a social learning environment for humanoid robot |
| url | http://dx.doi.org/10.1155/2010/241785 |
| work_keys_str_mv | AT fadyalnajjar hcbpmanideatowardasociallearningenvironmentforhumanoidrobot AT abdulrahmanhafiz hcbpmanideatowardasociallearningenvironmentforhumanoidrobot AT kazuyukimurase hcbpmanideatowardasociallearningenvironmentforhumanoidrobot |