Title :
Planning with imperfect information
Author :
Ferguson, Dave ; Stentz, Anthony
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
28 Sept.-2 Oct. 2004
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;
Conference_Titel :
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8463-6
DOI :
10.1109/IROS.2004.1389679