By the end of the course, participants will be able to:
• Understand the basic principles of robotics
• Design and build simple robotic systems
• Integrate sensors and actuators into robotic projects
• Program robots to perform specific tasks
• Implement basic control systems
• Troubleshoot and debug robotic systems
• Work collaboratively on robotic projects

• Beginners with no prior robotics experience
• Students interested in STEM fields
• Hobbyists and enthusiasts in robotics
• Professionals looking to gain foundational knowledge in robotics
• Educators seeking to introduce robotics into their curriculum

• Presentations by the course leader, including case examples
• Hands-on building and programming exercises
• Group work on projects - design, build, and test robots
• Interactive demonstrations and practical sessions
• Quizzes and interactive Q&A sessions
• Real-world project development

DAY 1: Introduction to Robotics
• Welcome and course overview
• History and evolution of robotics
• Overview of different types of robots
• Basic components of a robot: Sensors, actuators, and controllers
• Introduction to robot design and mechanics
• Safety considerations in robotics
DAY 2: Robotics Hardware
• Detailed study of sensors: Types and applications
• Actuators: Motors, servos, and other mechanisms
• Power sources and management
• Building the robot chassis: Materials and construction techniques
• Introduction to microcontrollers and single-board computers (e.g., Arduino, Raspberry Pi)

DAY 3: Robotics Software and Programming
• Overview of robotics programming languages
• Setting up the programming environment
• Basic programming concepts for robotics
• Writing and running simple programs to control motors and sensors
• Introduction to robot operating systems (ROS)

DAY 4: Control Systems and Navigation
• Basics of control theory
• Implementing simple control systems: Open-loop and closed-loop control
• Sensor integration and data processing
• Navigation and path planning
• Obstacle detection and avoidance

DAY 5: Advanced Topics and Project Work
• Introduction to machine learning and AI in robotics
• Swarm robotics and collaborative robots
• Ethical considerations in robotics
• Developing a complex robot project: Planning, building, and testing
• Course review and Q&A
• Final project presentations and feedback
• Next steps and further learning resources