Codesys Ros2 -

The worlds of industrial automation and advanced robotics are rapidly converging. Historically, industrial automation relied on Programmable Logic Controllers (PLCs) running deterministic, robust, and safe control loops. Meanwhile, advanced robotics—especially Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs)—developed within the open-source, highly flexible ecosystem of the Robot Operating System (ROS and now ROS 2).

, combining the deterministic real-time execution of PLCs with the advanced processing, perception, and navigation capabilities of the Robot Operating System.

If you are looking to start with a specific PLC (like Beckhoff or Schneider) or need to bridge to a specific robot arm (like UR or KUKA), I can provide more tailored examples on how to structure the CODESYS function blocks. codesys ros2

(Programmable Logic Controller), powered by CODESYS, ensuring that your factory floor runs with millisecond precision and safety. On the other, you have

The integration of (the industry-leading, hardware-independent PLC programming system) and ROS 2 (the modern standard for robotics) provides a powerful hybrid architecture. This article explores how to connect these two worlds, enabling robust, high-performance industrial robotics. 1. Why Integrate CODESYS and ROS 2? The worlds of industrial automation and advanced robotics

The marriage of CODESYS and ROS 2 isn't just a trend—it’s the future of Software-Defined Automation

On the surface, CODESYS and ROS 2 seem designed for different domains. CODESYS is built for industrial automation: controlling conveyors, managing safety systems, and driving motors with microsecond precision. ROS 2 is built for robotics: sensor fusion, motion planning, perception, and complex algorithmic control. However, modern smart factories demand both. A robotic workcell might rely on a CODESYS‑based PLC to handle safety interlocks and axis control, while a ROS 2 node performs vision‑based grasping or dynamic path planning. , combining the deterministic real-time execution of PLCs

Developers gain access to thousands of open-source libraries for computer vision, machine learning, and kinematics.

Managing two distinct build environments (CODESYS IDE and the Linux terminal/Colcon) increases the learning curve for traditional PLC engineers. Conclusion

: PLCs excel at real-time, deterministic control. They manage microsecond-level I/O loops, execute safety functions, and communicate via robust industrial protocols like EtherCAT, PROFINET, and EtherNet/IP. However, they lack the computational flexibility needed for complex tasks like autonomous navigation, dynamic path planning, or machine learning.

Data mapping requires precision. CODESYS uses IEC types like BOOL , INT , REAL , and LREAL , whereas ROS2 utilizes primitive IDL types within its messages ( bool , int32 , float32 , float64 ).