DocumentCode :
2912353
Title :
Unifying exploration, localization, navigation and planning through a common representation
Author :
Schultz, Alan C. ; Adams, William ; Yamauchi, Brian ; Jones, Mike
Author_Institution :
Center for Appl. Res. in Artificial Intelligence, Naval Res. Lab., Washington, DC, USA
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
2651
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 describe our most recent work in integrating mobile robot exploration, localization, navigation, and planning through the use of a common representation, evidence grids
Keywords :
adaptive control; computerised navigation; mobile robots; planning; robust control; common representation; evidence grids; exploration; localization; navigation; planning; robust adaptive mobile robot systems; Artificial intelligence; Bayesian methods; Fuses; Laser modes; Mobile communication; Mobile robots; Navigation; Robustness; Sensor fusion; Sonar measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
ISSN :
1050-4729
Print_ISBN :
0-7803-5180-0
Type :
conf
DOI :
10.1109/ROBOT.1999.773998
Filename :
773998
Link To Document :
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