Major: Robotics and Artificial Intelligence
Overview: This interdisciplinary program combines robotics engineering with artificial intelligence (AI) to design, develop, and deploy intelligent robotic systems. Students gain hands-on experience in robot mechanics, control systems, machine learning, and AI algorithms, preparing them for careers in automation, autonomous systems, and advanced robotics applications.
Learning Objectives:
- Understand the fundamentals of robotics and AI integration.
- Develop skills in robotic system design, including mechanics, electronics, and software.
- Learn AI techniques such as machine learning, computer vision, and natural language processing for robotics.
- Explore applications in industrial automation, healthcare, autonomous vehicles, and service robotics.
- Gain practical experience in programming, simulation, and real-world robotic deployment.
- Apply ethical considerations and safety standards in robotic system development.
Core Courses:
Introduction to Robotics and AI
- Overview of robotics, AI, and their intersection in modern applications.
Robot Mechanics and Design
- Principles of robotic kinematics, dynamics, and mechanical design.
- Hands-on projects in building robotic prototypes.
Control Systems for Robotics
- Techniques for designing control algorithms for robotic movement and precision.
Machine Learning for Robotics
- AI techniques for robotic perception, decision-making, and autonomous behavior.
- Focus on deep learning, reinforcement learning, and neural networks.
Computer Vision and Sensors
- Image processing, object recognition, and sensor integration for robotic perception.
Autonomous Systems
- Design and implementation of autonomous robots, including navigation and path planning.
Human-Robot Interaction
- Principles of designing robots that interact safely and effectively with humans.
Industrial and Service Robotics
- Applications in manufacturing, logistics, healthcare, and domestic robotics.
Ethics and Safety in Robotics
- Ethical considerations, safety protocols, and regulatory compliance in robotic systems.
Practicum in Robotics and AI
- Hands-on experience through lab work, internships, or industry projects.
Capstone Project
- Comprehensive project to design, build, and program a robotic system with AI capabilities.
Assessment Methods:
- Robotic design and simulation projects
- AI algorithm implementations for robotics
- Control system analyses and optimizations
- Case studies on real-world robotic applications
- Practicum reports and capstone project evaluations
Recommended Textbooks:
- Introduction to Robotics: Mechanics and Control by John J. Craig
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
- Robot Modeling and Control by Mark W. Spong, Seth Hutchinson, and M. Vidyasagar
- Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
- Computer Vision: Algorithms and Applications by Richard Szeliski
Prerequisites: Basic knowledge of mathematics (calculus, linear algebra), physics, and programming (Python, C++). Suitable for students interested in robotics, AI, automation, and engineering.
Duration: 4 years for a bachelor’s degree, including coursework, lab work, and internships.
Certification: Graduates earn a degree in Robotics and Artificial Intelligence and can pursue certifications in robotics, AI, or related engineering fields.
Career Paths:
- Robotics Engineer (design and development of robotic systems)
- AI Specialist (machine learning and AI algorithms for robotics)
- Automation Engineer (industrial robotics and process automation)
- Autonomous Systems Developer (self-driving cars, drones, or unmanned systems)
- Research Scientist (advancing robotics and AI technologies)
- Human-Robot Interaction Designer (user-friendly robotic interfaces)
Why This Major? This program prepares students to lead in the rapidly growing fields of robotics and AI, where innovation drives industries like manufacturing, healthcare, logistics, and beyond. Graduates will be equipped to develop intelligent systems that solve real-world challenges, from industrial automation to assistive robotics. With Turkey’s growing tech sector, this major offers exciting opportunities to contribute to both local and global advancements in robotics and AI.
