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| Title: | A RAM-based neural network for collision avoidance in a mobile robot | |
| Author (s): | Yao, Q. Beetner, Daryl G. Wunsch, Donald C. Osterloh, B. | |
| Department/Lab Affiliations: | Applied Computational Intelligence Laboratory Electrical and Computer Engineering Electromagnetic Compatibility Laboratory | |
| Keywords: | 8051 microcontroller RAM-based neural network collision avoidance embedded applications microprocessor system mobile robots multi-layer neural network training neurocontrollers random-access storage | |
| Issue Date: | 2003 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Yao, Q.; Beetner, D.; Wunsch, D.C.; Osterloh, B., "A RAM-based neural network for collision avoidance in a mobile robot" Proceedings of the International Joint Conference on Neural Networks, 2003. pp. 3157- 3160 vol.4, 20-24 July 2003 | |
| Abstract: | A RAM-based neural network is being developed for a mobile robot controlled by a simple microprocessor system. Conventional neural networks often require a powerful and sophisticated computer system. Training a multi-layer neural network requires repeated presentation of training data, which often results in very long learning time. The goal for this paper is to demonstrate that RAM-based neural networks are a suitable choice for embedded applications with few computational resources. This functionality is demonstrated in a simple robot powered by an 8051 microcontroller with 512 bytes of RAM. The RAM-based neural network allows the robot to detect and avoid obstacles in real time. | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | A RAM-based neural network for collision avoidance in a mobile robot | |
| contributor.author | Yao, Q. | |
| contributor.author | Beetner, Daryl G. | |
| contributor.author | Wunsch, Donald C. | |
| contributor.author | Osterloh, B. | |
| contributor.deptlab | Applied Computational Intelligence Laboratory | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Electromagnetic Compatibility Laboratory | |
| subject | 8051 microcontroller | |
| subject | RAM-based neural network | |
| subject | collision avoidance | |
| subject | embedded applications | |
| subject | microprocessor system | |
| subject | mobile robots | |
| subject | multi-layer neural network training | |
| subject | neurocontrollers | |
| subject | random-access storage | |
| date.issued | 2003 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Yao, Q.; Beetner, D.; Wunsch, D.C.; Osterloh, B., "A RAM-based neural network for collision avoidance in a mobile robot" Proceedings of the International Joint Conference on Neural Networks, 2003. pp. 3157- 3160 vol.4, 20-24 July 2003 | |
| identifier.issn | 1098-7576 | |
| identifier.pub.URI | ||
| description.abstract | A RAM-based neural network is being developed for a mobile robot controlled by a simple microprocessor system. Conventional neural networks often require a powerful and sophisticated computer system. Training a multi-layer neural network requires repeated presentation of training data, which often results in very long learning time. The goal for this paper is to demonstrate that RAM-based neural networks are a suitable choice for embedded applications with few computational resources. This functionality is demonstrated in a simple robot powered by an 8051 microcontroller with 512 bytes of RAM. The RAM-based neural network allows the robot to detect and avoid obstacles in real time. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:17:30Z | |
| date.available | 2007-04-05T14:17:30Z | |
| identifier.persist.URI | ||
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