Day 1: Introduction to Robotics, Al, Arduino, and Human-Robot Interaction

• Overview of Robotics, Artificial Intelligence, and Human-Robot Interaction
• Applications of Al in Human-Robot Interaction
• Introduction to Micro Controller and Basic Programming
• Basic Arduino Programming (LED Blink, Digital I/O)
• Overview of Tools: Python, OpenCV, Eye Tracking Devices

Day 2: Arduino Robotics and Python for Al

• Understanding Arduino Hardware and Sensors (Ultrasonic, IR)
• Introduction to Python Programming for Al
• Serial Communication between Arduino and Python
• Key Python Libraries (NumPy, OpenCV)
• Introduction to Machine Learning for Al Robotics

Day 3: Computer Vision, Eye Tracking, and Micro Controllers

• Introduction to Computer Vision and its Role in Robotics
• Setting up OpenCV for Image Processing and Eye Tracking
• Demo Project Concepts and Integration with OpenCV (Detecting Eyes, Pupil Movement)

Day 4: Eye Tracking and Machine Learning

• Extracting Coordinates from Eye Movement
• Eye Gaze Mapping for Robotic Navigation (Forward, Turning, Stop)
• Building and testing an example project: Hardware Integration (Motors, Wheels, Actuators)
• Fine-Tuning Eye Tracking Accuracy and Gaze-Based Robot Actions

Day 5: Course Wrap-up

• Human-Computer Interaction: Designing Scenarios for Gaze-Based Control
• Enhancing Interaction with Gesture Recognition
• Advanced Techniques: Using Machine Learning for Eye Tracking Control
• Course Wrap-Up: Discussion on Challenges and Future Trends in Human-Centric Robotics