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Autor(en): 
  • Nathan Westwood
  • Designing Autonomous Systems: A Comprehensive Guide to Robotic Intelligence and Safety 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Januar 2026  
    Genre:  Naturwissensch., Medizin, Technik 
     
    COMPUTERS / Intelligence (AI) & Semantics / COMPUTERS / Machine Theory / TECHNOLOGY & ENGINEERING / Robotics
    ISBN:  9798245988467 
    EAN-Code: 
    9798245988467 
    Verlag:  Independently Published 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 15 mm 
    Gewicht:  304 gr 
    Seiten:  246 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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!

      
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