Behavior fusion of robot navigation using a Fuzzy neural network
| dc.citation.epage | 4915 | en_US |
| dc.citation.spage | 4910 | en_US |
| dc.contributor.author | Song, Kai-Tal | en_US |
| dc.contributor.author | Lin, Jean-Yuan | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:24:48Z | |
| dc.date.available | 2014-12-08T15:24:48Z | |
| dc.date.issued | 2006 | en_US |
| dc.description.abstract | This paper presents a design of behavior-fusion architecture for mobile robot navigation. We first design three behaviors for robot navigation, including obstacle avoidance, wall following, and goal seeking. We implement these primitive behaviors by using fuzzy-logic control approaches. Then, the fusion weight of each behavior is determined by using the proposed behavior-fusion neural network. The neural network maps the current environment sensor data to suitable fusion weights. Both computer simulation and practical experiments verify the effectiveness of the method. | en_US |
| dc.identifier.doi | 10.1109/ICSMC.2006.385083 | en_US |
| dc.identifier.isbn | 978-1-4244-0099-7 | en_US |
| dc.identifier.issn | 1062-922X | en_US |
| dc.identifier.journal | 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/ICSMC.2006.385083 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/17244 | |
| dc.identifier.wosnumber | WOS:000248078505081 | |
| dc.language.iso | en_US | en_US |
| dc.title | Behavior fusion of robot navigation using a Fuzzy neural network | en_US |
| dc.type | Proceedings Paper | en_US |