Course Outline

Introduction

Overview of Drones and Autonomous Systems

  • Classification of unmanned aerial vehicles (UAVs)
  • Applications for UAVs

Learning About Drone Technology Basics

  • Drone and quadrotor mechanisms
  • Sensors, navigation, command and control, etc.

Evaluating Drone Delivery Methods

  • Commercially available solutions
  • Research and development

Exploring Drone Technology

  • Drone systems
  • Data collection methods and tools
  • Data storage requirements

Understanding Policies and Regulations

  • Local government policies
  • International regulations

Working with Unmanned Aerial Systems

  • Risk factors
  • Ethical use of drones
  • Threats to UAS

Applying Knowledge to Solve Needs

  • Evaluating industry or organizational needs
  • Drones in disaster operations, forecasting, command and control, etc.

The Future of Drone Technology

  • Future applications and capabilities
  • Artificial intelligence (AI) and machine learning
  • Data analytics and the internet

Summary and Conclusion

Requirements

  • Interest in aerial robotics
  • No previous knowledge of unmanned aerial systems (UAS) required

Audience

  • Anyone new to aerial robotics and drones
  7 Hours
 

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