Robotics

Robotics, preparing them for further study or entry into the workforce in fields such as robotics engineering, automation, artificial intelligence, and mechatronics.

Introduction to Robotics: 

1- Definition and history of robotics.

2- Importance and applications of robotics in various industries.

3- Types of robots: Industrial robots, service robots, mobile robots, etc.

4- Overview of key components: Sensors, actuators, controllers, and effectors.

5- Robot anatomy: Manipulators, end effectors (grippers), joints, and links.

Robot Kinematics:

1- Coordinate systems and frames of reference.

2- Forward kinematics: Calculating the position and orientation of the end effector given joint angles.

3- Inverse kinematics: Determining joint angles required to achieve a desired end effector position and orientation.

4- Jacobian matrix: Understanding velocity and force relationships in robotic systems.

Robot Dynamics:

1- Newton-Euler equations: Formulating equations of motion for robot manipulators.

2- Motion planning: Path planning and trajectory generation for robotic systems.

3- Feedback control: Introduction to PID control and other basic control techniques.

4- Robot simulation: Using software tools for simulating and visualizing robot dynamics.

Robot Programming:

1- Programming languages for robotics: C/C++, Python, MATLAB, etc. Introduction to robot operating systems (ROS): Architecture and basic functionality.

2- Robot simulation and control projects: Hands-on exercises to program and control simulated robots.

3- Introduction to robot middleware: Communication protocols and message passing in robotic systems.

Robot Perception:

1- Sensor types and characteristics: Cameras, LiDAR, ultrasonic sensors, etc. Sensor fusion: Integrating data from multiple sensors to improve perception accuracy.

2- Localization and mapping: Techniques for estimating the robot's pose and creating maps of the environment.

3- Object detection and recognition: Introduction to computer vision algorithms for robotic perception.

Robot Applications:

1- Industrial robotics: Automation in manufacturing processes, assembly lines, and warehouses.

2- Service robotics: Applications in healthcare, agriculture, logistics, and domestic environments.

3- Mobile robotics: Navigation and path planning for autonomous vehicles and drones.

4- Human-robot interaction: Designing robots to collaborate safely and effectively with humans in various settings.

Project Work:

1- Capstone project: Designing, building, and programming a robotic system to solve a real-world problem.

2- Lab assignments: Practical exercises to reinforce theoretical concepts and develop hands-on skills.

3- Group projects: Collaborative projects to design and implement robotic systems, fostering teamwork and communication skills.

Advanced Topics (Optional):

1- Soft robotics: Flexible and deformable robots inspired by biological systems.

2- Swarm robotics: Coordination and collaboration among large groups of simple robotic agents.

3- Bio-inspired robotics: Drawing inspiration from nature to design robots with novel capabilities.

4- Ethics and societal impact: Considerations regarding the ethical, legal, and social implications of robotics technology.