Content deleted Content added
m typo: agle→angle |
|||
Line 11:
According to Balakirsky (2003) 4D/RCS is an example of deliberative [[agent architecture]]. These architectures "include all systems that plan to meet future goal or deadline. In general, these systems plan on a model of the world rather than planning directly on processed sensor output. This may be accomplished by real-time [[sensor]]s, [[A priori and a posteriori|a priori]] information, or a combination of the two in order to create a picture or snapshot of the world that is used to update a world model".<ref name="SBB03">S.B. Balakirsky (2003). ''A framework for planning with incrementally created graphs in attributed problem spaces''. IOS Press. {{ISBN|1-58603-370-0}}. p.10-11.</ref> The course of action of a deliberative agent architecture is based on the world model and the commanded mission goal, see image. This goal "may be a given system state or physical ___location. To meet the goal systems of this kind attempts to compute a path through a multi-dimensional space contained in the real world".<ref name="SBB03"/>
The 4D/RCS is a hierarchical deliverative architecture, that "plans up to the [[subsystem]] level to compute plans for an [[autonomous vehicle]] driving over rough terrain. In this system, the world model contains a pre-computed dictionary of possible vehicle trajectories known as an [[ego-graph]] as well as information from the real-time sensor processing. The trajectories are computed based on a discrete set of possible vehicle velocities and starting steering
==History==
|