Codesys Ros2 -

Integrating CODESYS with ROS 2 bridges the gap between high-reliability industrial automation (PLCs) and advanced robotic software. While CODESYS manages deterministic real-time tasks like motor control and safety, ROS 2 provides high-level capabilities like SLAM, AI, and path planning. Integration Strategies

• Receives data from a 3D Lidar.
• Runs the Nav2 stack (navigation) to calculate a path from A to B.
• Performs object recognition via a camera.

. ROS 2 nodes written in Python or C++ can act as clients to read/write PLC registers. Datalayer Integration codesys ros2

Use Cases for CoDeSys and ROS 2 Integration Integrating CODESYS with ROS 2 bridges the gap

CoDeSys (Controller Development System) is a popular software tool used for developing and programming industrial automation controllers. It provides a comprehensive environment for designing, testing, and deploying control applications. On the other hand, ROS 2 (Robot Operating System 2) is an open-source software framework widely used in robotics and automation for building complex robot applications. It provides a flexible and scalable architecture for developing robot software. Receives data from a 3D Lidar

This integration allows you to keep Safety-rated logic in the CODESYS Safety PLC (e-stop, light curtains, over-torque protection) while keeping Navigation and Vision in ROS 2. The safety PLC can monitor and override the ROS 2 commands without a single line of unsafe code in your Python/C++ nodes.

• You are a pure research robot (e.g., TurtleBot) – use native ROS 2 and micro-ROS on an MCU.
• Your entire robot runs on a single Raspberry Pi – the overhead of CODESYS is too large.
• You need strict SIL 3 safety – CODESYS + ROS 2 is not certified for that. Use a dedicated safety PLC.

Conclusion

The integration of CODESYS and ROS2 represents the maturation of the robotics industry. We are moving away from "hobbyist" control systems and toward a hybrid model where ROS2 provides the intelligence and CODESYS provides the discipline.