Advanced Kinematics: • Introduction to multi-link systems • Advanced concepts in robot movement • Practical exercises on dynamic modeling
Control Systems Beyond Basics: • Nonlinear control concepts • Practical applications of adaptive control • Introduction to Model Predictive Control (MPC)
Advanced Computer Vision for Robotics: • 3D vision basics • Object recognition techniques • Simple scene understanding
Introduction to Machine Learning in Robotics: • Basics of reinforcement learning • Simple applications of deep learning in robotics • Overview of transfer learning
Advanced Robot Programming Techniques: • Real-time programming considerations • Introduction to C++ and Python for robotics • Operating System considerations (RTOS)
Simulation Tools for Robotics: • Practical use of simulation tools • Simulating complex robot behaviors • Hands-on exercises with sensor and actuator simulation
Middleware for Robotics: • Introduction to middleware (e.g., ROS) • Basic features and functionalities • Simple development and integration exercises
Industry 4.0 and Robotics: • Basic understanding of smart factories • Introduction to collaborative robots (cobots) • Overview of robotics in the Internet of Things (IoT)
Introduction to Advanced Robotic Hardware: • Overview of high-performance actuators and sensors • Basic understanding of robotic construction materials • Simple integration exercises with custom hardware
Human-Robot Interaction Basics: • Introduction to human-robot collaboration • Basic ethical considerations • Simple user interface design principles
Introduction to Swarm Robotics: • Basics of swarm robotics • Understanding cooperative behavior in robot swarms • Simple applications and challenges
Current Trends in Robotics: • Overview of recent developments • Introduction to research areas in robotics • Discussion on future prospects
Hands-on Project: • Intermediate-level project applying advanced concepts • Integration of learned technologies • Project presentation and documentation
