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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201564
