Course Outline


Overview of Aerial Robotics

  • Drones, Unmanned Aerial Vehicles (UAVs), and quadrotors
  • Components of autonomous flight
  • Industries where UAVs can be useful

Modeling UAVs

  • The basic mechanics of UAVs and quadrotors
  • Dynamics of a multirotor micro aerial vehicle (MAV) and a fixed-wing UAV

Designing UAVs

  • Design considerations
  • Agility and maneuverability
  • Selecting components and size

Understanding the Kinematics of Quadrotors

  • Transformations and rotations
  • Euler angles and angular velocity
  • Quadrotor equations of motion

Understanding State Estimation

  • Using on-board sensors (inertial sensors) to estimate vehicle state
  • Inertial navigation systems
  • The concepts of Kalman Filter

Developing Models of Quadrotors

  • 2D quadrotor control and modeling
  • 3D quadrotor control and modeling

Exploring the Basic Concepts of Flight Control

  • Control techniques for aerial robotics
  • Linear model predictive control

Motion Planning for Aerial Robotics

  • Different techniques and methods for motion planning

Testing UAVs and Quadrotors using Simulators

  • SimPy
  • RotorS

Summary and Conclusion


  • Basic understanding of computer science and engineering
  • Experience with electrical and mechanical engineering


  • Computer engineers
  • Electrical engineers
  • Mechanical engineers
  • Developers
  21 Hours


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