DocumentCode
478615
Title
FIP: A Fast Planning-Graph-Based Iterative Planner
Author
Fu, Jicheng ; Bastani, Farokh ; Ng, Vincent ; Yen, I-Ling ; Zhang, Yansheng
Author_Institution
Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX
Volume
1
fYear
2008
fDate
3-5 Nov. 2008
Firstpage
419
Lastpage
426
Abstract
We present a fast iterative planner (FIP) that aims to handle planning problems involving nondeterministic actions. In contrast to existing iterative planners, FIP is built upon Graphplan´s intrinsic features, thus, enabling Graphplan variants, including SGP and FF, to be enhanced with the capability of iterative planning. In addition, FIP is able to produce program-like plans with conditional and loop constructs, and achieves efficient planning via novel algorithms for manipulating planning graphs. Experimental results on several nondeterministic planning problems show that FIP is more efficient than the well-known planner, MBP, especially as the size of the problems increases.
Keywords
iterative methods; planning (artificial intelligence); FIP; Graphplan variants; fast planning-graph-based iterative planner; nondeterministic planning; Artificial intelligence; Computer science; Iterative algorithms; Iterative methods; Path planning; Process planning; Scalability; Uncertainty; Automated AI Planning; Graphplan; Iterative planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location
Dayton, OH
ISSN
1082-3409
Print_ISBN
978-0-7695-3440-4
Type
conf
DOI
10.1109/ICTAI.2008.98
Filename
4669719
Link To Document