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Planning Algorithms
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AUD 189
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The only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications.
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What Stands Out
Product Details
| Publisher | Cambridge University Press |
| Publication date | May 29, 2006 |
| Edition | Illustrated |
| Language | English |
| Print length | 844 pages |
| ISBN-10 | 0521862051 |
| ISBN-13 | 978-0521862059 |
| Item Weight | 3.51 pounds (1.59 kg) |
| Dimensions | 7 x 1.75 x 10.25 inches (17.8 x 4.4 x 26 cm) |
Who Should Buy?
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Students of AI
Ideal for students pursuing artificial intelligence, providing foundational knowledge in planning algorithms and their applications.
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Robotics Engineers
Beneficial for robotics engineers who need to implement efficient algorithms for navigation and decision-making in robots.
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Computer Scientists
Great resource for computer scientists focusing on algorithms, data structures, and optimization techniques in various applications.
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Beginners in Programming
Not suitable for complete programming novices, as prior knowledge in algorithms and mathematics is required to understand content.
Product Description
Planning Algorithms
About This Item
Introducing "Planning Algorithms: 1st Edition" - Your Guide to Mastering Complex Planning Techniques Are you interested in diving deep into the world of planning algorithms? Look no further! We are thrilled to present the highly acclaimed "Planning Algorithms: 1st Edition" – the must-have textbook for anyone seeking to understand, implement, and master advanced planning techniques. Whether you're a student studying computer science, an aspiring artificial intelligence engineer, or a robotics enthusiast, this comprehensive book covers all the fundamental aspects of planning algorithms. With a focus on providing clear explanations and practical examples, this 1st edition is ideal for both beginners and experienced professionals alike. Why choose "Planning Algorithms: 1st Edition"? 1. Unparalleled Depth: Authored by leading experts in the field, this book delves deep into the complexities of planning algorithms, ensuring you have a thorough understanding of the subject matter. 2.
Practical Implementation: Gain valuable insights into how planning algorithms are applied in real-world scenarios, from artificial intelligence to autonomous vehicles and robotics. 3. Clear and Concise Explanations: Complex concepts are broken down into easy-to-understand explanations, ensuring that you are able to grasp even the most intricate details. 4. Comprehensive Coverage: From the basics to the advanced algorithms, this book covers a wide range of topics, including planning algorithms and complexity, introduction to planning algorithms, advanced planning algorithms, and more. 5.
Valuable Learning Resource: Whether you're studying for a course, preparing for an exam, or simply expanding your knowledge, this textbook serves as an invaluable companion throughout your learning journey. Don't miss out on the opportunity to enhance your understanding of planning algorithms. Order your copy of "Planning Algorithms: 1st Edition" today and embark on an exciting adventure into the world of advanced planning techniques!.
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Structured Design Editorial Review
Planning Algorithms 1st Edition is a comprehensive and exhaustive survey of different planning methods, particularly focused on path planning and robot navigation. The book includes an interesting section about topological spaces and their application to path planning. While it can be downloaded for free from the author's website, this book is highly recommended for anyone working in the field of robotics.
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Pros
- Comprehensive review of different planning methods
- Includes a section on topological spaces and their application to path planning
- Available for free download from the author's website
Cons
- No feedback about delivery or packaging
Product Price History
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AUD 189
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Features & Benefits
- Impactful planning algorithms in various technical disciplines
- Suitable for computer scientists, engineers in AI, robotics, and control theory
- Integrates vast literature into a coherent source
- Explains difficult math through examples
- Ideal for teaching and reference in diverse applications
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