Robotics and Automation Course

What Will You Learn?

• By the end of a Robotics and Automation course, participants should be able to:
• 1. Understand Robotics Fundamentals: Grasp the core principles of robotics including kinematics, dynamics, control systems, and sensors used in robotic systems.
• 2. Design and Build Robots: Learn how to design and construct robots using various components such as motors, sensors, and actuators, as well as integrating mechanical, electrical, and software systems.
• 3. Program Robots: Understand the programming languages and software used to control robots. This includes both low-level programming (e.g., Arduino, Raspberry Pi) and high-level programming (e.g., ROS - Robot Operating System).
• 4. Work with Automation Systems: Learn the principles of industrial automation, such as PLCs (Programmable Logic Controllers) and SCADA (Supervisory Control and Data Acquisition), and how they are applied to control robots and automated systems.
• 5. Apply Robotics in Real-World Applications: Understand how robotics and automation are applied in industries such as manufacturing, healthcare, agriculture, and logistics.
• 6. Understand Sensors and Actuators: Learn about the role of sensors (e.g., cameras, LIDAR, ultrasonic sensors) and actuators (e.g., motors, servos) in robots and how they are used for tasks like navigation, manipulation, and data collection.
• 7. Integrate AI and Machine Learning: Understand how AI and machine learning can be used to enhance robot capabilities, including autonomous decision-making, vision processing, and adaptive learning.
• 8. Troubleshoot and Debug Robots: Gain skills in diagnosing problems with robotic systems and automated workflows, including mechanical, electrical, and software components.
• 9. Work with Collaborative Robots (Cobots): Learn the principles of collaborative robots designed to work alongside humans, and how they are integrated into industrial processes.
• 10. Develop Autonomous Systems: Explore autonomous robots and systems that can perform tasks without human intervention, utilizing sensor data, AI algorithms, and real-time decision-making.