DC 欄位 | 值 | 語言 |
dc.contributor | Dept. of Comput. Sci. & Inf. Eng., National Taiwan Univ. | en |
dc.contributor.author | Chang, Tsai-Yu | en |
dc.contributor.author | Kuo, Szu-Wen | en |
dc.contributor.author | YUNG-JEN HSU | en |
dc.creator | Chang T.-Y;Kuo S.-W;Hsu J.Y.-J. | en |
dc.date | 1994-09 | en |
dc.date.accessioned | 2007-04-19T03:05:11Z | - |
dc.date.accessioned | 2018-07-05T01:02:45Z | - |
dc.date.available | 2007-04-19T03:05:11Z | - |
dc.date.available | 2018-07-05T01:02:45Z | - |
dc.date.issued | 1994-09 | - |
dc.identifier.issn | 21530858 | - |
dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910032476 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025222273&doi=10.1109%2fIROS.1994.407376&partnerID=40&md5=7a9f337f09730b0e838b1287056eb69b | - |
dc.description.abstract | This paper presents an implemented navigation system for mobile robots in dynamic environments. In order to take advantage of existing knowledge of the world and to deal with unknown obstacles in realtime, our system divides motion planning into global path planning and local reactive navigation. The former uses genetic algorithm methods to find a collision-free path; the latter is implemented using neural network techniques to track the path generated by the global planner while avoiding unknown obstacles on the way. As a result, the system can adapt to dynamic environmental changes. Our experiments, both in simulation and on a real robot, showed that the system can find a reasonably good free path in a fraction of the time necessary to find an optimal free path, and it can effectively achieve its goal configurations without collision. © 1994 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. | - |
dc.format | application/pdf | en |
dc.format.extent | 569012 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | en-US | en |
dc.language.iso | en_US | - |
dc.relation.ispartof | Proceedings of The IEEE International Conference on Intelligent Robots,"and Systems 1994" | en_US |
dc.subject.other | Genetic algorithms; Motion planning; Navigation systems; Algorithm methods; Collision-free paths; Dynamic environments; Free path; Global path planning; Motion-planning; Neural network techniques; Reactive navigation; Real- time; Two phase; Mobile robots | - |
dc.title | A two-phase navigation system for mobile robots in dynamic environments | en |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/IROS.1994.407376 | en |
dc.identifier.scopus | 2-s2.0-85025222273 | - |
dc.relation.pages | 306-313 | - |
dc.relation.journalvolume | 1 | - |
dc.identifier.uri.fulltext | http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910032476/1/00407376.pdf | - |
item.fulltext | with fulltext | - |
item.languageiso639-1 | en_US | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.cerifentitytype | Publications | - |
item.openairetype | conference paper | - |
item.grantfulltext | open | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0002-2408-4603 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 資訊工程學系
|