Robotics Simulation & Digital Twins Training in Sri Lanka

This comprehensive training program equips participants with the essential knowledge and practical skills to leverage robotics simulation and digital twin technologies across various industries. Participants will explore the fundamentals of robot modeling, sensor simulation, and virtual commissioning, progressing to advanced topics such as physics-based simulation, real-time digital twins, and integration with control systems. The course emphasizes hands-on application using open-source and industry-relevant tools, enabling learners to create accurate digital replicas of robotic systems, simulate complex scenarios, and optimize performance before physical deployment.

By the end of the program, participants will be prepared to implement simulation-driven workflows that reduce development costs, minimize risks, and accelerate innovation in robotics and automation projects.

• Basic understanding of robotics concepts, including kinematics and dynamics
• Familiarity with programming languages such as Python or C++
• Fundamental knowledge of linear algebra and calculus
• Experience with 3D modeling or CAD software is beneficial but not mandatory
• Willingness to engage with open-source simulation tools and environments

• Create and configure robotic models in simulation environments
• Simulate sensors such as cameras, LiDAR, and IMUs
• Implement physics-based interactions and collision handling
• Develop digital twins for real-time monitoring and control
• Integrate simulation with ROS and other control frameworks
• Optimize simulation performance for complex scenarios
• Validate and verify robotic systems using virtual testing
• Deploy digital twin solutions for industrial applications

Upon completion of this training, participants will possess the expertise to design, implement, and manage robotics simulation and digital twin solutions effectively. They will be capable of creating accurate virtual models of robotic systems, simulating complex interactions, and leveraging digital twins for real-time monitoring and predictive maintenance. Participants will also gain the skills to integrate simulation with control frameworks, optimize performance, and deploy digital twins in industrial settings, thereby enhancing operational efficiency and innovation.