(Enter summary)
Abstract: We study goal-directed navigation tasks in mazes, where the
robots know the maze but do not know their initial pose (position
and orientation). These search tasks can be modeled
as planning tasks in large non-deterministic domains whose
states are sets of poses. They can be solved efficiently by
interleaving planning and plan execution, which can reduce
the sum of planning and plan-execution time because it allows
the robots to gather information early. We show how
Min-Max LRTA*, a real-time... (Update)
Context of citations to this paper: More
...and Zilberstein, 1998; Poupart and Boutilier, 2000] GPT follows this approach. Methods that interleave planning and execution [Koenig and Simmons, 1998; Genesereth and Nourbakhsh, 1993] can be considered alternative (and orthogonal) approaches to the problem of planning off...
.... addressed by di erent techniques, see, e.g. Pryor Collins, 1996; Weld et al. 1998; Bonet Ge ner, 2000; Rintanen, 1999a; Koenig Simmons, 1998; Tovey Koenig, 2000 ] A limit case of planning under partial observability is conformant planning, where the assumption is...
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BibTeX entry: (Update)
Koenig, S. and Simmons, R.G. 1998. Solving robot navigation problems with initial pose uncertainty using real-time heuristic search. In Proceedings of the International Conference on Artificial Intelligence Planning Systems. 154--153. http://citeseer.ist.psu.edu/koenig98solving.html More
@inproceedings{ koenig98solving,
author = "Sven Koenig and Reid G. Simmons",
title = "Solving Robot Navigation Problems with Initial Pose Uncertainty Using Real-Time Heuristic Search",
booktitle = "Artificial Intelligence Planning Systems",
pages = "145-153",
year = "1998",
url = "citeseer.ist.psu.edu/koenig98solving.html" }
Citations (may not include all citations):
257
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Real-time search in non-deterministic domains
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