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Synopsis
Build robots that don't just work—they survive.
In the race to automate the world, safety is the only finish line that matters.
Designing Autonomous Systems is the definitive engineering handbook for architects and developers tasked with creating machines that interact with the real world. While many resources teach you how to train a neural network or wire a motor, this book focuses on the critical system-level architecture required to turn a prototype into a reliable, commercial product.
This book bridges the gap between "artificial intelligence" and "functional safety." It challenges you to think beyond the happy path—what happens when a sensor fails? What happens when the network drops? What happens when a human steps in the way? You will learn to design architectures that are not only intelligent but resilient, compliant, and trustworthy.
In this comprehensive architectural guide, you will master:
System Architecture: Learn to design robust hardware/software stacks that separate mission-critical safety logic from high-level AI processing.
Perception & Fusion: Strategies for combining LIDAR, Radar, and Camera data to create a "world model" that minimizes false positives and negatives.
Decision Making Under Uncertainty: Implement probabilistic planning algorithms that allow robots to make safe choices in dynamic, unpredictable environments.
Functional Safety Principles: A practical introduction to industry standards (concepts similar to ISO 26262 and SOTIF) to ensure your system is fail-operational, not just fail-safe.
Verification & Validation: Techniques for rigorous testing, including edge-case simulation and hardware-in-the-loop (HIL) validation.
The Ethics of Autonomy: Engineering frameworks for programming constraints and rules that govern robotic behavior in human spaces.
Who is this book for? This text is essential for systems engineers, technical leads, and robotics researchers working on self-driving cars, delivery drones, industrial AMRs, or medical robots. If you are ready to move from "it works in the lab" to "it works in the real world," this is your guide.
Design the future of reliable robotics. Scroll up and secure your copy to master the engineering behind autonomous safety!
"synopsis" may belong to another edition of this title.
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Designing Autonomous Systems: A Comprehensive Guide to Robotic Intelligence and Safety
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Designing Autonomous Systems
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Designing Autonomous Systems (Paperback)
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Paperback. Condition: new. Paperback. Build robots that don't just work-they survive.In the race to automate the world, safety is the only finish line that matters.Designing Autonomous Systems is the definitive engineering handbook for architects and developers tasked with creating machines that interact with the real world. While many resources teach you how to train a neural network or wire a motor, this book focuses on the critical system-level architecture required to turn a prototype into a reliable, commercial product.This book bridges the gap between "artificial intelligence" and "functional safety." It challenges you to think beyond the happy path-what happens when a sensor fails? What happens when the network drops? What happens when a human steps in the way? You will learn to design architectures that are not only intelligent but resilient, compliant, and trustworthy.In this comprehensive architectural guide, you will master: System Architecture: Learn to design robust hardware/software stacks that separate mission-critical safety logic from high-level AI processing.Perception & Fusion: Strategies for combining LIDAR, Radar, and Camera data to create a "world model" that minimizes false positives and negatives.Decision Making Under Uncertainty: Implement probabilistic planning algorithms that allow robots to make safe choices in dynamic, unpredictable environments.Functional Safety Principles: A practical introduction to industry standards (concepts similar to ISO 26262 and SOTIF) to ensure your system is fail-operational, not just fail-safe.Verification & Validation: Techniques for rigorous testing, including edge-case simulation and hardware-in-the-loop (HIL) validation.The Ethics of Autonomy: Engineering frameworks for programming constraints and rules that govern robotic behavior in human spaces.Who is this book for? This text is essential for systems engineers, technical leads, and robotics researchers working on self-driving cars, delivery drones, industrial AMRs, or medical robots. If you are ready to move from "it works in the lab" to "it works in the real world," this is your guide.Design the future of reliable robotics. Scroll up and secure your copy to master the engineering behind autonomous safety! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798245988467
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Designing Autonomous Systems
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Designing Autonomous Systems (Paperback)
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Paperback. Condition: new. Paperback. Build robots that don't just work-they survive.In the race to automate the world, safety is the only finish line that matters.Designing Autonomous Systems is the definitive engineering handbook for architects and developers tasked with creating machines that interact with the real world. While many resources teach you how to train a neural network or wire a motor, this book focuses on the critical system-level architecture required to turn a prototype into a reliable, commercial product.This book bridges the gap between "artificial intelligence" and "functional safety." It challenges you to think beyond the happy path-what happens when a sensor fails? What happens when the network drops? What happens when a human steps in the way? You will learn to design architectures that are not only intelligent but resilient, compliant, and trustworthy.In this comprehensive architectural guide, you will master: System Architecture: Learn to design robust hardware/software stacks that separate mission-critical safety logic from high-level AI processing.Perception & Fusion: Strategies for combining LIDAR, Radar, and Camera data to create a "world model" that minimizes false positives and negatives.Decision Making Under Uncertainty: Implement probabilistic planning algorithms that allow robots to make safe choices in dynamic, unpredictable environments.Functional Safety Principles: A practical introduction to industry standards (concepts similar to ISO 26262 and SOTIF) to ensure your system is fail-operational, not just fail-safe.Verification & Validation: Techniques for rigorous testing, including edge-case simulation and hardware-in-the-loop (HIL) validation.The Ethics of Autonomy: Engineering frameworks for programming constraints and rules that govern robotic behavior in human spaces.Who is this book for? This text is essential for systems engineers, technical leads, and robotics researchers working on self-driving cars, delivery drones, industrial AMRs, or medical robots. If you are ready to move from "it works in the lab" to "it works in the real world," this is your guide.Design the future of reliable robotics. Scroll up and secure your copy to master the engineering behind autonomous safety! 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 # 9798245988467
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Designing Autonomous Systems : A Comprehensive Guide to Robotic Intelligence and Safety
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Neuware - Build robots that don't just work-they survive.In the race to automate the world, safety is the only finish line that matters.Designing Autonomous Systems is the definitive engineering handbook for architects and developers tasked with creating machines that interact with the real world. While many resources teach you how to train a neural network or wire a motor, this book focuses on the critical system-level architecture required to turn a prototype into a reliable, commercial product.This book bridges the gap between 'artificial intelligence' and 'functional safety.' It challenges you to think beyond the happy path-what happens when a sensor fails What happens when the network drops What happens when a human steps in the way You will learn to design architectures that are not only intelligent but resilient, compliant, and trustworthy.In this comprehensive architectural guide, you will master: - System Architecture: Learn to design robust hardware/software stacks that separate mission-critical safety logic from high-level AI processing.- Perception & Fusion: Strategies for combining LIDAR, Radar, and Camera data to create a 'world model' that minimizes false positives and negatives.- Decision Making Under Uncertainty: Implement probabilistic planning algorithms that allow robots to make safe choices in dynamic, unpredictable environments.- Functional Safety Principles: A practical introduction to industry standards (concepts similar to ISO 26262 and SOTIF) to ensure your system is fail-operational, not just fail-safe.- Verification & Validation: Techniques for rigorous testing, including edge-case simulation and hardware-in-the-loop (HIL) validation.- The Ethics of Autonomy: Engineering frameworks for programming constraints and rules that govern robotic behavior in human spaces.Who is this book for This text is essential for systems engineers, technical leads, and robotics researchers working on self-driving cars, delivery drones, industrial AMRs, or medical robots. If you are ready to move from 'it works in the lab' to 'it works in the real world,' this is your guide.Design the future of reliable robotics. Scroll up and secure your copy to master the engineering behind autonomous safety! Seller Inventory # 9798245988467
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