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A 'must-have' textbook!
| Publisher | The MIT Press |
| Publication date | August 19, 2005 |
| Edition | Intelligent Robotics and Autonomous Agents series |
| Language | English |
| Print length | 672 pages |
| ISBN-10 | 0262201623 |
| ISBN-13 | 978-0262201629 |
| Item Weight | 2.93 pounds (1.33 kg) |
| Dimensions | 8.31 x 1.54 x 9.25 inches (21.1 x 3.9 x 23.5 cm) |
Ideal for advanced students studying robotics, artificial intelligence, or control systems seeking a deep understanding of probabilistic methods.
Researchers and practitioners in robotics or automation will benefit from the comprehensive methodologies and algorithms presented in this book.
Engineers working on autonomous systems will find practical applications and insights to enhance their designs and implementations.
Individuals without a technical background may find the mathematical concepts and theories too challenging to understand.
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
Experience the fascinating world of robotics with Probabilistic Robotics, part of the Intelligent Robotics and Autonomous Agents series. This comprehensive hardcover book, written by Sebastian Thrun, Wolfram Burgard, and Dieter Fox, delves into the core concepts and advanced methods of estimation theory, as well as the probabilistic models and processes that drive robot localization, SLAM (Simultaneous Localization and Mapping), and decision making. Whether you are a student, teacher, or researcher, Probabilistic Robotics is an essential reference that will expand your understanding of robotics. With its in-depth coverage and practical insights, this book is a must-have textbook that will equip you with the tools and knowledge needed to navigate the complex realm of uncertainty in robotics. Discover the techniques, concepts, and applications of Probabilistic Robotics as you embark on an intellectual journey through its pages.
From the basics to advanced topics, this book provides a comprehensive overview of the field, making it suitable for beginners and experienced practitioners alike. Written by esteemed authors who are experts in their respective fields, Probabilistic Robotics offers an authoritative perspective on the subject. Sebastian Thrun, Associate Professor at Stanford University and Director of the Stanford AI Lab, brings his wealth of knowledge and experience to the table. Wolfram Burgard, Professor at the University of Freiburg, and Dieter Fox, Associate Professor at the University of Washington, contribute their extensive research and expertise to the book. Whether you are interested in learning about the fundamental concepts of Probabilistic Robotics, exploring innovative research advancements, or understanding the practical applications of this field, this book has something for everyone.
Join the ranks of robotics enthusiasts and professionals and unlock the potential of Probabilistic Robotics today.
"Probabilistic Robotics" is a highly recommended book for those interested in the field of robotics. It provides a solid theoretical foundation for the modern algorithms used in robotics, including topics such as state estimation, SLAM (Simultaneous Localization and Mapping), and motion planning. The book is suitable for both undergraduate and graduate level study material. The quality of the book itself is fine, although there seems to be an issue with the binding for some readers. It is mentioned that the surface of the book is wavy and the binding appears to be coming out. However, this does not affect the content of the book and its usefulness in terms of knowledge acquisition. Customers who have used this book for courses or for expanding their knowledge about software for robotics have expressed their satisfaction with its content. It is seen as a valuable resource for those involved in robotics. However, there is one negative review from a customer who gave it a one-star rating. The main issue mentioned is the inability to access the book through both the Cloud Reader and the Kindle device. This limitation of access seems to have affected the overall rating for this particular customer. Overall, "Probabilistic Robotics" receives positive reception from customers who appreciate its theoretical foundation and its value in the field of robotics.
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