📜 Advanced Mechatronics Course
Code: 1102-PEM
📅 Duration: 6 weeks (Advanced Level)
🎯 Objective: Equip participants with advanced skills in mechatronics system design, intelligent control, and advanced robotics.
📌 Week 1: Advanced Mechanical Systems
✅ Mathematical modeling of mechanical systems.
✅ Designing mechanical systems using SolidWorks or Fusion 360.
✅ Motion control using Servo Motors and Stepper Motors.
✅ Simulating and analyzing dynamic systems with MATLAB/Simulink.
📖 Practical Exercise: Modeling and simulating a mobile robotic system.
📌 Week 2: Intelligent Control Systems
✅ Advanced PID control and dynamic response optimization.
✅ Introduction to Adaptive Control Systems.
✅ Implementing Neural Networks for intelligent control.
✅ Integrating AI-based control for autonomous systems.
📖 Practical Exercise: Tuning a PID Controller for a servo motor using MATLAB.
📌 Week 3: Advanced Robotics Techniques
✅ Collaborative Robots (Cobots) and their industrial applications.
✅ Controlling robotic arms using Inverse Kinematics.
✅ Implementing SLAM (Simultaneous Localization and Mapping) for mobile robots.
✅ Programming autonomous robots using ROS (Robot Operating System).
📖 Practical Exercise: Developing an autonomous mobile robot using ROS.
📌 Week 4: IoT in Mechatronics
✅ Integrating IoT with mechatronic systems.
✅ Using ESP32 and Raspberry Pi for remote control and monitoring.
✅ Modern communication protocols: MQTT, HTTP, WebSockets.
✅ Live data analysis with Cloud & Edge Computing.
📖 Practical Exercise: Implementing a smart factory control system using ESP32 and MQTT.
📌 Week 5: Computer Vision and AI
✅ Introduction to Computer Vision in mechatronics.
✅ Object detection and tracking using OpenCV & Python.
✅ Recognizing objects with YOLO & TensorFlow.
✅ Integrating AI-powered image processing for decision-making.
📖 Practical Exercise: Developing a robotic system for object detection and tracking.
📌 Week 6: Comprehensive Final Project
✅ Designing and implementing a fully integrated mechatronics project combining mechanics, electronics, control, and AI.
✅ System performance analysis and optimization with simulation tools.
✅ Project presentations and expert discussions.
📖 Final Project: Building an industrial smart robot capable of autonomous tasks using intelligent control and computer vision.
🎯 What Will Participants Learn in This Course?
✔ Advanced control systems using PID, AI, and Adaptive Control.
✔ Design and analysis of mechanical systems using MATLAB & SolidWorks.
✔ Developing advanced robotic systems with ROS & OpenCV.
✔ Implementing IoT-based smart monitoring and control.
✔ Building fully integrated mechatronics projects for real-world applications.
💡 This course is ideal for engineers, researchers, and developers looking to deepen their expertise in mechatronics and intelligent technologies! 🚀
Edit by: Dr. Eng. Adel Ramadan
