Computational Principles of Mobile Robotics
| Author | : | |
| Rating | : | 4.43 (940 Votes) |
| Asin | : | 0521692121 |
| Format Type | : | paperback |
| Number of Pages | : | 406 Pages |
| Publish Date | : | 2013-04-08 |
| Language | : | English |
DESCRIPTION:
The text really shines in its handling of algorithms for perception, sensor fusion, and path planning. In the multidisciplinary area of robotics, it is not uncommon to find textbooks that describe the algorithms involved in robotic control, perception, planning, etc., but fail to provide the reader with the critical details necessary for implementation. ed., CH, Nov'00, 38-1584) became an immediate resource for this reviewer for both research and teaching purposes. References are included throughout. STANSBURY, Embry-Riddle Aeronautical University"a great resource for an intermediate or advanced course on mobile robo
The Perfect Robotics Textbook I'm two chapters in and absolutely love this book: the writing is academic, the scope is wide, and they don't shy away from exploring complex concepts in depth. One of my educational quirks is being afraid of new formulas and equations, but the authors go from 0 to 60 in a logical, iterative progression that is extremely easy to follow. Exposure to calculus would probably be a prerequisite to ready beyond the fi. "Good." according to J.. Good Product that arrived on time.. Good general overview of computational robotics This is one of only two books that I know of that are dedicated to computational issues in robotics, the other one being "Introduction to Autonomous Mobile Robots". Both of these books are good and excel in certain areas. I think that this book's best chapters are the two on sensors and their algorithms. Both chapters have plenty of details and even some worked numerical examples. The first two chapters on locom
Gregory Dudek is Professor of Computer Science and Director of the School of Computer Science at McGill University. He holds a James McGill Chair and is a member of the Center for Intelligent Machines, and has been co-author of over 150 refereed publications on robotics and computer vision.Michael Jenkin is a Professor of Computer Science and Engineering at York University. He has co-edited a series of eight books on human and machin
Various mathematical techniques that were assumed in the first edition are now briefly introduced in appendices at the end of the text to make the book more self-contained. It includes additional mathematical background and an extensive list of sample problems. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. The new edition includes advances in robotics and intelligent machines over the last ten years, including significant coverage of SLAM (simultaneous localization and mapping) and multi-robot systems. This textbook for advanced undergraduates and graduate students emphasizes algorithms for a range of strategies for locomotion, sensing, and reasoning. Mobile robotics is a multidisc