Control engineering of autonomous cognitive vehicles- a practical tutorial (2011)
BibTeX
@MISC{Veres11controlengineering,
author = {Or M Veres and Nick K Lincoln and Levente Molnar},
title = {Control engineering of autonomous cognitive vehicles- a practical tutorial},
year = {2011}
}
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Abstract
Abstract. An introduction is provided to artificial agent methodologies applicable to control engineering of autonomous vehicles and robots. The fundamentals that make a machine autonomous are considered: decision making that involves cognitive modelling the environment and forming data abstractions for symbolic processing and logic based reasoning. Capabilities such as navigation, path planning, tracking control and communications are treated as basic skills of cognitive agents. The ANSI standard of intelligent systems is used followed by the fundamental types of possible agent architectures for autonomous vehicles are presented, starting from reactive, through layered, to advanced architectures in terms of beliefs, goals and intentions. Cognitive capabilities of agents can fill in missing links between computer science results on discrete agents and engineering results of continuous world sensing, actuation and path planning. Design tools for “abstractions programming ” are identified as needed to fill in the gap between logic based reasoning and sensing. Contents 1.
