
- 445 pages
- English
- PDF
- 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 PresseBook ISBN
9781834413709
Year
2026Table of contents
- Cover
- Title Page
- Copyright
- About the Author
- Table of Contents
- List of Figures
- Preface
- Chapter 1: Introduction to Cell Cycle Checkpoints
- Chapter 2: Phases of the Cell Cycle
- Chapter 3: Molecular Regulation of the Cell Cycle
- Chapter 4: Spindle Assembly Checkpoint (SAC)
- Chapter 5: DNA Damage Response and Repair Pathways
- Chapter 6: Apoptosis and Cell Cycle Arrest
- Chapter 7: Stem Cells and Cell Cycle Regulation
- Chapter 8: Cell Cycle Dysregulation in Cancer
- Chapter 9: Use of In Vivo Gap Repair for Isolation of Mutant Alleles of a Checkpoint Gene
- Chapter 10: Gene Targeting in Cultured Human Cells
- Index
- Back Cover
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