Knowledge-Based Vision-Guided Robots
| Author | : | |
| Rating | : | 4.42 (535 Votes) |
| Asin | : | 3790814946 |
| Format Type | : | paperback |
| Number of Pages | : | 222 Pages |
| Publish Date | : | 2014-08-20 |
| Language | : | English |
DESCRIPTION:
This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. The texts presents algorithms that exploit these constraints at all levels of vision, from image processing to model construction and matching, as well as shape recovery. The book introduces a knowledge-based approach to vision modeling for robot guidance, where advantage is taken of constraints of the robot's physical structure, the tasks it performs, and the environments it works in. This facilitates high-level computer vision algorithms such as object recognition at a speed that is sufficient for real-time navigation. It explores how to apply methods of high-level computer vision and fuzzy logic to the guidance and control of the mobile robot. These algorithms are demonstrated in the navigation of a wheeled mobile robot.. Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance
A poor book with good title A Customer This book was very attractive to me by its title, so I bought it with a non-low price. However, the contents are neither rich and entensive nor systematic, and the robot systems are not novel at all. So after read it, I found nothing, but waiste of my time, energy and money. The book does really not match its title and price.