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Course Outline
Introduction
Overview of Aerial Robotics
- Drones, Unmanned Aerial Vehicles (UAVs), and quadrotors.
- Key components of autonomous flight.
- Industries that benefit from UAVs.
Modeling UAVs
- Fundamental mechanics of UAVs and quadrotors.
- Dynamics of multirotor micro aerial vehicles (MAVs) and fixed-wing UAVs.
Designing UAVs
- Critical design considerations.
- Agility and maneuverability.
- Selecting appropriate components and size.
Understanding the Kinematics of Quadrotors
- Transformations and rotations.
- Euler angles and angular velocity.
- Equations of motion for quadrotors.
Understanding State Estimation
- Using onboard sensors (such as inertial sensors) to estimate vehicle state.
- Inertial navigation systems.
- Concepts related to the 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
- Various 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
