Conference Publication Details
Mandatory Fields
Toal D.;Flanagan C.;Molnar L.;Nolan S.;Love T.
Intelligent Engineering Systems Through Artificial Neural Networks
Reactive control in the design of an autonomous underwater vehicle
2002
December
Published
1
()
Optional Fields
527
535
This paper describes the development of an Autonomous Underwater Vehicle (AUV) and its intelligent control system. The architecture of the control system is reactive, rather than attempting to model the entire underwater environment, the robot instead relies on a set of "reflexes" coupled with a number of higher-level task planning modules. The "reflexes" endow the robot with failsafe survivability; they ensure that it will avoid potentially dangerous situations, thus freeing the task planning modules to operate at a high level of abstraction without having to worry that they may have missed some potentially hazardous feature of the underwater environment. The control architecture used by the robot is based on the Subsumption architecture.
Grant Details