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Course Outline
Introduction
Overview of Aerial Robotics
- Drones, Unmanned Aerial Vehicles (UAVs), and quadrotors.
- Components of autonomous flight.
- Industries where UAVs are beneficial.
Modelling UAVs
- 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 modelling.
- 3D quadrotor control and modelling.
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
Requirements
- Foundational knowledge of computer science and engineering.
- Experience in electrical and mechanical engineering.
Target Audience
- Computer engineers.
- Electrical engineers.
- Mechanical engineers.
- Developers.
21 Hours
