DocumentCode :
2914465
Title :
Genetic trajectories control planning for teams of quasi-robot ships
Author :
Giron-Sierra, Jose M. ; Cifuentes, Santiago ; Jimenez, Juan F.
Author_Institution :
Dep. A.C.Y.A., Univ. Complutense de Madrid, Madrid
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
1206
Lastpage :
1211
Abstract :
This paper considers complex marine operations involving the coordinated motion of several ships. Each ship is controlled by an on-board computer, under captain supervision; so the ship is a quasi-robot ship. A computational procedure, able to embed a priori knowledge, was devised for planning of the ships motion control, to make them follow adequate trajectories. The main idea has been to mimic the typical maneuver when parking a car: turn the wheel to one side, and then to the other side; this may be seen as a partial bang-bang control strategy. In general, this type of maneuver do adapt to the control of non-holonomic vehicles, when a vehicle starts from a certain position and attitude and must arrive to another position and attitude. The paper introduces a genetic procedure for control planning using partial bang-bang control. A complete operation, the case of oil spill over confinement, is described, presenting results of the genetic optimization procedure.
Keywords :
genetic algorithms; mobile robots; motion control; planning (artificial intelligence); position control; ships; bang-bang control; captain supervision; coordinated motion; genetic optimization; genetic trajectory control planning; marine operation; nonholonomic vehicle control; on-board computer; quasi-robot ships; ship motion control; Automatic control; Bang-bang control; Genetic algorithms; Marine vehicles; Motion control; Motion planning; Robot kinematics; Robotics and automation; Trajectory; Wheels; genetic algorithms; marine surface robots; robot trajectory planning; ship motion control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795693
Filename :
4795693
Link To Document :
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