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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wilkes, D.M. Tugcu, M. Hunter, J.E. Noelle, D. |
| Copyright Year | 2005 |
| Description | Author affiliation: Center for Intelligent Syst., Vanderbilt Univ., Nashville, TN, USA (Wilkes, D.M.; Tugcu, M.; Hunter, J.E.; Noelle, D.) |
| Abstract | The ability to teach a robot new skills and tasks without explicit programming is an important goal in robotics. Such capability tends to imply the ability to learn from experience, much like many biological creatures. Evidence suggests that working memory plays a pivotal role in this learning process, in part by focusing attention on the most relevant data. We describe ongoing research to study the utility of computational neuroscience models of working memory within robotic systems. A system comprised of working memory, short term memory, long term memory, spatial reasoning and perception modules is proposed. The paper focuses on the perceptual module and its interaction with the working memory. Results are given to show the current progress. |
| Starting Page | 686 |
| Ending Page | 691 |
| File Size | 1072229 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780392744 |
| DOI | 10.1109/ROMAN.2005.1513859 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent robots Robot programming Intelligent systems Educational robots Humans Orbital robotics Biological information theory Biology computing Neuroscience Biological system modeling |
| Content Type | Text |
| Resource Type | Article |
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