Computational Principles of Mobile Robotics
| Author | : | |
| Rating | : | 4.74 (860 Votes) |
| Asin | : | 0521692121 |
| Format Type | : | paperback |
| Number of Pages | : | 406 Pages |
| Publish Date | : | 2014-07-04 |
| Language | : | English |
DESCRIPTION:
"The Perfect Robotics Textbook" according to A. 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 first chapter.The writing is often dense, I find myself rereading paragraphs, but this is in no way a bad thing. If considering this . "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 locomotion and robot hardware are pretty good and do have some equations for deriving robot kinematics, but I think that the previously
Mobile robotics is a multidisciplinary field involving both computer science and engineering. Addressing the design of automated systems, it lies at the intersection of artificial intelligence, computational vision, and robotics. 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. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.. It includes additional mathematical background and an extensive list of sample problems. 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. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. This textbook for advanced undergraduates
ed., CH, Nov'00, 38-1584) became an immediate resource for this reviewer for both research and teaching purposes. References are included throughout. "This book is an indispensable tool for any--both pre-university and university--course on mobile robotics. The text really shines in its handling of algorithms for perception, sensor fusion, and path planning. The appendixes review probability, statistics, linear systems, filters, and Markov models, but not with enough depth to provide an introduction to someone new to any one of these topics. This work is a
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. Gregory Dudek is Professor of Computer Science and Director of the School of Computer Science at McGill University. He has co-edited a series of eight books on human and machine vis