Codesys Ros2 Access
Integrating with ROS 2 (Robot Operating System 2) creates a powerful "Brain-Muscle" architecture for industrial automation. While ROS 2 excels at high-level "thinking" tasks like AI-driven path planning and 3D perception, CODESYS provides the deterministic "muscle" needed for real-time hardware control and safety-critical execution. Why Pair CODESYS with ROS 2?
The core challenge of a CODESYS-ROS2 integration is bridge communication. Because the platforms utilize different data structures and network protocols, engineers typically choose one of three architectural approaches:
The fourth industrial revolution (Industry 4.0) demands that traditional PLC-based automation systems interact seamlessly with autonomous robotic systems. While PLCs offer deterministic microsecond-level control for actuators and sensors, robotic systems require advanced functionalities such as SLAM, path planning, and multi-agent coordination—domains where ROS2 has become the de facto standard. codesys ros2
By letting CODESYS handle the hardware and fieldbus complexity while ROS 2 focuses on perception, planning, and high‑level coordination, developers can build systems that are both and smart . As Industry 4.0 and smart manufacturing continue to evolve, the synergy between PLCs and robot operating systems will become not just an option, but a necessity.
For applications requiring 200 Hz - 1000 Hz loop times, shared memory is critical for low-latency, deterministic control. Integrating with ROS 2 (Robot Operating System 2)
As industries move towards flexible manufacturing, the need to combine high-level AI/computer vision (ROS2) with low-level, real-time safety control (CODESYS) has grown. This article explores how to bridge these two technologies, the architectures involved, and the benefits of a ecosystem. 1. Why Connect CODESYS with ROS2?
Available as an add‑on library for CODESYS V3.5 SP20+. Free for non‑commercial use (limited to 10 variables); professional license per runtime. The core challenge of a CODESYS-ROS2 integration is
Introduces a translation layer; generally limited to non-real-time communication (cycle times > 10ms). 2. Native DDS Communication (High Performance)
To understand the value of this integration, one must look at the unique strengths of each platform. By combining them, engineers create a system that is both rock-solid and highly intelligent.