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Course Outline
Introduction
Overview of Aerial Robotics for Government
- Drones, Unmanned Aerial Vehicles (UAVs), and quadrotors
- Components essential for autonomous flight
- Sectors where UAVs can enhance operations
Modeling UAVs for Government Applications
- Fundamental mechanics of UAVs and quadrotors
- Dynamics of multirotor micro aerial vehicles (MAVs) and fixed-wing UAVs
Designing UAVs for Government Use
- Key design considerations
- Enhancing agility and maneuverability
- Selecting appropriate components and size
Understanding the Kinematics of Quadrotors for Government Operations
- Transformations and rotations in aerial robotics
- Euler angles and angular velocity calculations
- Equations of motion for quadrotors
Understanding State Estimation for Government UAVs
- Utilizing on-board sensors (inertial sensors) to estimate vehicle state
- Inertial navigation systems and their applications
- Concepts of the Kalman Filter in state estimation
Developing Models of Quadrotors for Government Use
- 2D quadrotor control and modeling techniques
- 3D quadrotor control and modeling methodologies
Exploring the Basic Concepts of Flight Control for Government Aerial Robotics
- Control techniques specific to aerial robotics
- Linear model predictive control strategies
Motion Planning for Government Aerial Robotics
- Various techniques and methods for motion planning in UAVs
Testing UAVs and Quadrotors Using Simulators for Government Applications
- MATLAB
- SimPy
- RotorS
Summary and Conclusion
Requirements
- Fundamental knowledge of computer science and engineering
- Practical experience in electrical and mechanical engineering
Audience for Government
- Computer engineers
- Electrical engineers
- Mechanical engineers
- Software developers
21 Hours
