DocumentCode
3054610
Title
Probabilistic navigation methods for uncertain and dynamic environments
Author
Burlina, Philippe ; DeMenthon, Daniel ; Davis, Larry S.
Author_Institution
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
312
Lastpage
315
Abstract
The trajectory planning problem for mobile robots in unknown dynamic workspaces is posed as an optimization problem with optimality criteria the probability of not colliding with the obstacles and the probability of accessing an operational position with respect to a moving target object. The authors study a formal computational framework in which such probabilities can be derived for elementary robot displacements
Keywords
mobile robots; navigation; optimisation; planning (artificial intelligence); probability; collision avoidance; mobile robots; optimality criteria; path planning; probabilistic navigation; probability; trajectory planning; Computer vision; Educational institutions; Navigation; Orbital robotics; Probability distribution; Robot kinematics; Robot sensing systems; Safety; State-space methods; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2910-X
Type
conf
DOI
10.1109/ICPR.1992.201564
Filename
201564
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