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About Control Engineering of Autonomous Cognitive Vehicles A Practical Tutorial
This document provides an introduction to control engineering methodologies for autonomous vehicles and robots. It discusses the fundamentals required for machine autonomy, including decision making, cognitive modeling of the environment, and logical reasoning. It also covers capabilities like navigation, path planning, and communications. The document then presents different types of agent architectures for autonomous systems, ranging from reactive to more advanced architectures involving beliefs, goals and intentions. It emphasizes the importance of cognitive capabilities and world modeling for intelligent decision making.
Detailed Information
| Author: | ['Andrew Gray'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 31 |
| Language: | English |
| Format: | |
| Price: | FREE |
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