DocumentCode :
2610715
Title :
Enhancing qualitative relative orientation with qualitative distance for robot path planning
Author :
Monferrer, M. Teresa Escrig ; Lobo, Francisco Toledo
Author_Institution :
Jaume I Univ., Castellon, Spain
fYear :
1996
fDate :
16-19 Nov. 1996
Firstpage :
174
Lastpage :
182
Abstract :
Humans reason about different aspects of space (such as relative orientation, cardinal directions, distance, size and shape of objects) quite easily. With the aim of simulating human behavior, several models for these spatial concepts have been developed. Cognitive considerations have made these frameworks qualitative because it seems to deal better with the imprecision that human perception provides. Unfortunately no operational model which allows to reason with all these spatial aspects in an integrated way has been developed up to now. The first aim of our research has been the integration of different spatial concepts which is accomplished by the definition of an operational model based on first order predicate logic. Constraint logic programming extended with constraint handling rules provides the level of abstraction suited for the integration of qualitative relative orientation and qualitative distance. The second aim of our work is to apply qualitative spatial reasoning to robot path planning.
Keywords :
common-sense reasoning; constraint handling; formal logic; mobile robots; path planning; spatial reasoning; uncertainty handling; cardinal directions; constraint handling rules; constraint logic programming; distance; first order predicate logic; human behavior simulation; human perception; imprecision; level of abstraction; object shape; object size; operational model; qualitative distance; qualitative relative orientation; qualitative spatial reasoning; research; robot path planning; Artificial intelligence; Humanoid robots; Humans; Intelligent robots; Logic programming; Orbital robotics; Path planning; Reflection; Shape; Solids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-8186-7686-7
Type :
conf
DOI :
10.1109/TAI.1996.560449
Filename :
560449
Link To Document :
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