DocumentCode
426201
Title
Planning with imperfect information
Author
Ferguson, Dave ; Stentz, Anthony
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
2
fYear
2004
fDate
28 Sept.-2 Oct. 2004
Firstpage
1926
Abstract
We describe an efficient method for planning in environments for which prior maps are plagued with uncertainty. Our approach processes the map to determine key areas whose uncertainty is crucial to the planning task. It then incorporates the uncertainty associated with these areas using the recently developed PAO algorithm to produce a fast, robust solution to the original planning task.
Keywords
multi-agent systems; path planning; robots; imperfect information; navigating agent; planning task; robots; Aircraft navigation; Costs; Data mining; Helicopters; Motion planning; Path planning; Process planning; Robots; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN
0-7803-8463-6
Type
conf
DOI
10.1109/IROS.2004.1389679
Filename
1389679
Link To Document