DocumentCode :
2924721
Title :
Integrating map learning, localization and planning in a mobile robot
Author :
Yamauchi, Brian ; Schultz, Alan ; Adams, William ; Graves, Kevin
Author_Institution :
Navy Center for Appl. Res. in Artificial Intelligence, Naval Res. Lab., Washington, DC, USA
fYear :
1998
fDate :
14-17 Sep 1998
Firstpage :
331
Lastpage :
336
Abstract :
The major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments and the view of integration as a basic research issue. Where reasonable, we try to use the same representations to allow different components to work more readily together and to allow better and more natural integration of and communication between these components. In this paper, we summarize our recent work in integrated mobile robot exploration, localization, and navigation
Keywords :
computerised navigation; mobile robots; multi-robot systems; planning (artificial intelligence); integrated mobile robot exploration; localization; map learning; navigation; planning; robust adaptive systems; Artificial intelligence; Bayesian methods; Fuses; Infrared sensors; Learning; Mobile communication; Mobile robots; Navigation; Robustness; Sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
ISSN :
2158-9860
Print_ISBN :
0-7803-4423-5
Type :
conf
DOI :
10.1109/ISIC.1998.713683
Filename :
713683
Link To Document :
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