Safety, security, and reliability of robotic systems algorithms, applications, and technologies

Safety, security, and reliability of robotic systems algorithms, applications, and technologies

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Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Gupta, Brij 1982- (HerausgeberIn), Nedjah, Nadia 196X- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2021
Ausgabe:First edition
Schlagworte:
Zuverlässigkeit
Sicherheit
Robotik
Aufsatzsammlung
Online-Zugang:DE-1050
DE-91
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Inhaltsangabe:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Dedication
  • Table of Contents
  • Preface
  • Acknowledgment
  • Editors
  • Contributors
  • 1 The Evolution of Robotic Systems: Overview and its Application in Modern Times
  • 1.1 Introduction
  • 1.2 Robotic Systems
  • 1.3 Computational Vision in Robotics
  • 1.4 Technologies for Robotics
  • 1.5 Robotic Systems in Healthcare
  • 1.6 Scientific Review
  • 1.7 Applications of Robotics
  • 1.8 Future Trends
  • 1.9 Conclusions
  • References
  • 2 Development of a Humanoid Robot's Head with Facial Detection and Recognition Features Using Artificial Intelligence
  • 2.1 Introduction
  • 2.2 Construction of the Frame
  • 2.3 Development of the Electronic Modules
  • 2.3.1 PIR Sensor Module
  • 2.3.2 Vision Sensor Module
  • 2.3.3 Servo Motor
  • 2.3.4 Raspberry Pi Microcontroller
  • 2.4 Programming the Android's Head
  • 2.4.1 Motion Tracking
  • 2.4.2 Facial Detection and Recognition
  • 2.5 Challenges
  • 2.6 Conclusions
  • Appendix
  • Acknowledgment
  • References
  • References for Advance/Further Reading
  • 3 Detecting DeepFakes for Future Robotic Systems
  • 3.1 Introduction
  • 3.2 Image Synthesis and DeepFake Technologies
  • 3.2.1 Generative Adversarial Networks
  • 3.2.2 GAN Image Models
  • 3.2.2.1 General Image Synthesis
  • 3.2.2.2 Face-Specific Synthesis
  • 3.2.3 Other Face Swap Techniques
  • 3.3 Deepfake Uses and Threats
  • 3.3.1 Present Threats
  • 3.3.2 Future Robotics and Deepfakes
  • 3.4 Deepfake Databases for Research
  • 3.4.1 Research Datasets
  • 3.4.2 Deepfake Detection Challenge
  • 3.5 Deepfake Detection Methods
  • 3.5.1 General Methods
  • 3.5.2 Specific Features
  • 3.6 Image Segmentation
  • 3.7 Multi-Task Learning for DeepFakes
  • 3.8 Conclusions and Future Research
  • 3.8.1 Summary
  • 3.8.2 Concluding Remarks
  • 3.8.3 Future Research Directions
  • References
  • 4 Nanoscale Semiconductor Devices for Reliable Robotic Systems
  • 4.1 Introduction
  • 4.2 Bulk Metal Oxide Field Effect Transistor (MOSFET) Scaling Trend
  • 4.2.1 Challenges of Bulk Complementary Metal Oxide Semiconductor (CMOS)
  • 4.2.2 Limitations of Bulk MOSFET
  • 4.2.3 Design Problems of Nanoscale CMOS
  • 4.3 Nanoscale MOSFET Structures
  • 4.3.1 Ultra-Thin Body (UTB) Mosfet
  • 4.3.2 Double-Gate (DG) Moset
  • 4.3.2.1 Advantages of Double-Gate Mosfet
  • 4.3.3 Silicon On Insulator (SOI) Mosfet
  • 4.3.4 Multiple-Gate MOSFET
  • 4.4 FinFET Device Structures
  • 4.4.1 FinFET's Pros and Cons
  • 4.4.2 FinFET Device Modeling
  • 4.5 Bulk MOSFET vs FinFET Leakage Currents
  • 4.5.1 Subthreshold Leakage Currents
  • 4.5.2 Gate Leakage Current
  • 4.5.3 Robotic Application
  • 4.6 Summary
  • References
  • 5 Internet of Things for Smart Gardening and Securing Home from Fire Accidents
  • 5.1 Introduction
  • 5.2 Introduction of Different Sensors Used
  • 5.2.1 Temperature Sensor
  • 5.2.2 Flame Sensor

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