Artificial Intelligence (AI) in Robotics with Human Interaction Project in Edinburgh

This comprehensive, hands-on course explores the cutting-edge fusion of artificial intelligence (AI) and robotics, focusing specifically on human-robot interaction. Over the course of five days, participants will delve into the fundamentals of robotics programming using Arduino, Python, and AI techniques such as computer vision and machine learning. The course emphasises practical application, with participants learning how to design and implement intelligent robots that can respond to human actions through eye-tracking and gesture recognition.

Participants will not only gain a strong foundation in the programming and hardware aspects of robotics but will also explore how AI is transforming the way robots interact with people in industries such as healthcare, manufacturing, and customer service. By the end of the course, attendees will have developed working prototypes, incorporating AI-driven interaction that can track eye movement, respond to gestures, and navigate based on human input. This course is ideal for tech enthusiasts, students, and professionals looking to enhance their knowledge of AI-powered robotics.

• Understand the fundamentals of AI and Robotics – Gain a foundational understanding of AI-driven robotics and how AI enhances human-robot interaction.
• Develop skills in Arduino programming and hardware integration – Learn how to programme and control robotic components using Arduino and integrate them with AI systems.
• Master Python programming for AI applications – Utilise Python and key libraries like OpenCV to build AI models and systems for robotic control and interaction.
• Implement Computer Vision and eye-tracking systems – Set up and use computer vision and eye-tracking technology to enable robots to respond to human actions.
• Design and execute machine learning models for robotic behaviour – Apply machine learning techniques to improve robotic decision-making based on human input such as gaze or gestures.
• Create and test real-world AI-driven robotics projects – Build working prototypes of robots that incorporate human interaction and navigation using eye-tracking and gesture recognition.