Aerial Robotics Training Course

Introduction

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

• MATLAB
• SimPy
• RotorS

Summary and Conclusion