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SLAM Demystified: The Definitive Guide to Algorithms That Let Robots Map Unknown Environments Instantly - Softcover
Synopsis
Understand How Robots Build Maps, Locate Themselves, and Navigate Unknown Worlds
How does a robot know where it is when it has never seen its surroundings before?
A robot exploring an unknown environment faces two connected challenges:
“Where am I?” and “What does the world around me look like?”
Simultaneous Localization and Mapping (SLAM) solves this problem by allowing robots to estimate their position while creating a map of their surroundings at the same time.
SLAM Demystified provides a practical and structured explanation of the algorithms, sensors, mathematics, and engineering decisions behind modern robotic mapping systems.
Instead of treating SLAM as a mysterious collection of advanced equations, this book breaks the complete pipeline into understandable components:
Sensors → Motion Estimation → Data Association → Mapping → Optimization → Localization → Deployment
You will learn how robots combine imperfect measurements from cameras, LiDAR, wheel encoders, and IMUs to create reliable maps and estimate their movement through unknown environments.
Inside this practical guide, you will learn how to:
- Understand the fundamental SLAM problem
- Explain why robots need both maps and position estimates
- Understand the circular relationship between localization and mapping
- Identify the inputs and outputs of a SLAM system
- Understand front-end and back-end SLAM processing
- Compare local and global SLAM approaches
- Understand online and full SLAM
- Analyze complete SLAM pipelines
- Select suitable SLAM approaches for different environments
The book explains that a SLAM system does not simply create a picture of the environment. Behind every map is an estimation process involving robot poses, landmarks, surfaces, sensor errors, and uncertainty.
SLAM Demystified transforms one of robotics’ most challenging topics into a structured engineering journey, helping you understand the algorithms that allow robots to explore, map, and operate in unknown environments.
"synopsis" may belong to another edition of this title.
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SLAM Demystified: The Definitive Guide to Algorithms That Let Robots Map Unknown Environments Instantly
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SLAM Demystified
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SLAM Demystified
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SLAM Demystified : The Definitive Guide to Algorithms That Let Robots Map Unknown Environments Instantly
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Amazon Digital Services LLC - Kdp Aug 2026, 2026
ISBN 13: 9798191097558
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Taschenbuch. Condition: Neu. Neuware - Understand How Robots Build Maps, Locate Themselves, and Navigate Unknown WorldsHow does a robot know where it is when it has never seen its surroundings before A robot exploring an unknown environment faces two connected challenges: 'Where am I ' and 'What does the world around me look like 'Simultaneous Localization and Mapping (SLAM) solves this problem by allowing robots to estimate their position while creating a map of their surroundings at the same time.SLAM Demystified provides a practical and structured explanation of the algorithms, sensors, mathematics, and engineering decisions behind modern robotic mapping systems.Instead of treating SLAM as a mysterious collection of advanced equations, this book breaks the complete pipeline into understandable components: Sensors ? Motion Estimation ? Data Association ? Mapping ? Optimization ? Localization ? DeploymentYou will learn how robots combine imperfect measurements from cameras, LiDAR, wheel encoders, and IMUs to create reliable maps and estimate their movement through unknown environments.Inside this practical guide, you will learn how to: - Understand the fundamental SLAM problem- Explain why robots need both maps and position estimates- Understand the circular relationship between localization and mapping- Identify the inputs and outputs of a SLAM system- Understand front-end and back-end SLAM processing- Compare local and global SLAM approaches- Understand online and full SLAM- Analyze complete SLAM pipelines- Select suitable SLAM approaches for different environmentsThe book explains that a SLAM system does not simply create a picture of the environment. Behind every map is an estimation process involving robot poses, landmarks, surfaces, sensor errors, and uncertainty. SLAM Demystified transforms one of robotics' most challenging topics into a structured engineering journey, helping you understand the algorithms that allow robots to explore, map, and operate in unknown environments. Seller Inventory # 9798191097558
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SLAM Demystified (Paperback)
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Paperback. Condition: new. Paperback. Understand How Robots Build Maps, Locate Themselves, and Navigate Unknown WorldsHow does a robot know where it is when it has never seen its surroundings before?A robot exploring an unknown environment faces two connected challenges: "Where am I?" and "What does the world around me look like?"Simultaneous Localization and Mapping (SLAM) solves this problem by allowing robots to estimate their position while creating a map of their surroundings at the same time.SLAM Demystified provides a practical and structured explanation of the algorithms, sensors, mathematics, and engineering decisions behind modern robotic mapping systems.Instead of treating SLAM as a mysterious collection of advanced equations, this book breaks the complete pipeline into understandable components: Sensors Motion Estimation Data Association Mapping Optimization Localization DeploymentYou will learn how robots combine imperfect measurements from cameras, LiDAR, wheel encoders, and IMUs to create reliable maps and estimate their movement through unknown environments.Inside this practical guide, you will learn how to: Understand the fundamental SLAM problemExplain why robots need both maps and position estimatesUnderstand the circular relationship between localization and mappingIdentify the inputs and outputs of a SLAM systemUnderstand front-end and back-end SLAM processingCompare local and global SLAM approachesUnderstand online and full SLAMAnalyze complete SLAM pipelinesSelect suitable SLAM approaches for different environmentsThe book explains that a SLAM system does not simply create a picture of the environment. Behind every map is an estimation process involving robot poses, landmarks, surfaces, sensor errors, and uncertainty. SLAM Demystified transforms one of robotics' most challenging topics into a structured engineering journey, helping you understand the algorithms that allow robots to explore, map, and operate in unknown environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798191097558
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