Autonomous Systems and Embedded Intelligence
eBook - PDF

Autonomous Systems and Embedded Intelligence

  1. 445 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Autonomous Systems and Embedded Intelligence

About this book

The rise of autonomous technologies has led to machines capable of perception, reasoning, and decision-making without human intervention. Embedded intelligence combines sensors, processors, and algorithms to achieve real-time adaptability. Autonomous Systems and Embedded Intelligence examines the architecture, control strategies, and AI integration within autonomous machines. It covers perception systems, sensor fusion, path planning, and machine learning applications. The book also discusses ethical and safety challenges in robotics and self-driving systems. Through real-world examples, it connects theoretical foundations with practical design approaches, serving as an essential guide for robotics engineers and automation researchers.

Information

Publisher
Arcler Press
eBook ISBN
9781834413709
Year
2026

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. About the Author
  5. Table of Contents
  6. List of Figures
  7. Preface
  8. Chapter 1: Introduction to Cell Cycle Checkpoints
  9. Chapter 2: Phases of the Cell Cycle
  10. Chapter 3: Molecular Regulation of the Cell Cycle
  11. Chapter 4: Spindle Assembly Checkpoint (SAC)
  12. Chapter 5: DNA Damage Response and Repair Pathways
  13. Chapter 6: Apoptosis and Cell Cycle Arrest
  14. Chapter 7: Stem Cells and Cell Cycle Regulation
  15. Chapter 8: Cell Cycle Dysregulation in Cancer
  16. Chapter 9: Use of In Vivo Gap Repair for Isolation of Mutant Alleles of a Checkpoint Gene
  17. Chapter 10: Gene Targeting in Cultured Human Cells
  18. Index
  19. Back Cover

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