Executive Development Programme in Real-Time Robotics Simulation with Simulink

This course is tailored for executives and senior managers in robotics and automation industries. It aims to enhance their understanding of real-time robotics simulation using Simulink, a critical tool for developing and testing robotic systems. Participants will gain insights into advanced simulation techniques, enabling them to make informed strategic decisions and innovate in their organizations.

By the end of the program, attendees will be able to leverage Simulink for optimizing robotic processes, fostering a culture of continuous improvement and technological advancement within their teams. They will also develop a strategic vision for integrating real-time simulation into their business models to stay ahead in the competitive robotics market.

1. 1. Introduction to Real-Time Robotics: Learners will study the basics of robotics, including kinematics and dynamics, and gain an understanding of real-time systems. They will learn how to set up a basic Simulink model for a robotic system.
2. 2. Simulink for Robotics Simulation: This module covers the fundamentals of using Simulink for simulation and modeling in robotics. Learners will learn to create and simulate simple robotic systems, gaining hands-on experience with Simulink blocks and workflows.
3. 3. Advanced Simulink Modeling Techniques: Building on the basics, learners will explore advanced modeling techniques in Simulink, including state machines, event-driven systems, and custom blocks. Practical skills include optimizing model performance and enhancing simulation fidelity.
4. 4. Real-Time Hardware Integration: In this module, learners will learn how to integrate real-time hardware with Simulink models. They will configure and interface with real-time targets, such as hardware-in-the-loop (HIL) systems, and gain experience in debugging real-time simulations.
5. 5. Sensor Fusion and Data Processing: Learners will study sensor fusion techniques and data processing pipelines for robotics. Practical skills include integrating multiple sensor data, performing real-time data fusion, and processing sensor data in Simulink.
6. 6. Control Algorithms for Robotics: This module focuses on designing and implementing control algorithms for robotic systems. Learners will learn about various control strategies and gain experience in implementing these algorithms in Simulink for real-time control applications.
7. 7. Advanced Robotics Topics: Covering cutting-edge topics in robotics, this module delves into areas such as autonomous navigation, manipulation, and machine learning for robotics. Practical skills include developing autonomous navigation algorithms and implementing machine learning models in Simulink.
8. 8. Simulink for Multi-Robot Systems: Learners will study the design and simulation of multi-robot systems. They will learn to model and simulate complex interactions between multiple robots and gain experience in coordinating and controlling multiple robotic agents in Simulink.
9. 9. Real-Time Simulation Best Practices: This module provides best practices and tips for effective real-time simulation using Simulink. Learners will learn about simulation strategies, performance optimization, and real-time deployment considerations.
10. 10. Final Project: Real-Time Robotics Simulation: In this capstone module, learners will apply all the skills and knowledge gained throughout the programme to develop a comprehensive real-time robotics simulation project. They will work in teams to design, implement, and simulate a complex robotic system, culminating in a final presentation and demonstration.