253 x 177 mm 294pp
79 line diagrams
| Published by
||Cambridge University Press,
Cambridge CB2 2RU
Tel: +44 (0)1223 312393
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Publisher's Book Description
This is a textbook for advanced undergraduate and graduate students in the field of mobile robotics. With a special emphasis on computation and algorithms, the authors address a range of strategies for enabling robots to perform tasks that involve motion and behavior. The book is divided into three major sections: locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots, but discusses a variety of other propulsion systems. It presents algorithms for both visual and nonvisual sensor technologies, including sonar, vision, and laser scanners. In the section on reasoning, the authors emphasize the problems of navigation, pose estimation, and autonomous exploration.
1. Overview and motivation;
Part I. Locomotion and Perception: 2. Mobile robot hardware; 3. Non-visual sensors and algorithms; 4. Visual sensors and algorithms;
Part II. Representation and Planning: 5. Representing and reasoning about space; 6. Operating environment; 7. Pose maintenance; 8. Maps and related tasks; 9. Practical mobile robot tasks; 10. The future of mobile robotics.
You can download sample text from chapter one (which happens to be the non-technical chapter of the book).
The definitive book on motion planning, with a theoretical perspective. Robot Motion Planning
Ron Arkin has written an excellent book that discusses behavior-based systems in detail. Behavior-Based Robotics
Kortenkamp, Bonasso, and Murphy have put edited this great set of academic papers on the state of the art in experimental robotics research. Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems
A very thorough 1995 title on the details of the key sensing technologies available for robotic systems. It remains a substantial current interest. Sensors for Mobile Robots : Theory and Application
Russell and Norvig deliver an excellent coverage of most of the key themes in artificial intelligence, with emphasis on areas related to deductive systems and traditional knowledge representation, and somewhat less coverage is topics like neural nets.
Your Own Robot!
A young-person's robot that can be programmed using a keypad, the OWI WAO-II robot is a great introductory device for kids.
A real robotic lawnmower from the Sharper Image. It's not really something you can reprogram, but it's still pretty interesting.
Silly, not educational, but maybe fun: RoboCub Walking Talking Robot with Wireless Remote
You can also find some novelties with a robotic theme here.
You can search for references related to mobile robotics via the following link. The references are not necessarily the same as those in the book; many references from the book are not present while there are also more recent additions.