The integration is a mature, production-ready bridge that respects the strengths of both worlds. It does not ask a PLC to think like a robot, nor a robot to cycle like a PLC. Instead, it creates a high-bandwidth, low-latency neural link between deterministic control and cognitive autonomy.
: 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.
To continue advancing your implementation, consider exploring the following steps:
Step-by-Step Implementation: Building an OPC UA to ROS2 Bridge codesys ros2
Historically, getting these two to talk required custom middleware, messy socket programming, or expensive hardware gateways. However, as Industry 4.0 advances, the demand for "Industrial ROS" has led to a convergence. Today, integrating CODESYS with ROS2 is not just possible—it is becoming a best practice for building robust, scalable robotic systems.
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The integration of CoDeSys and ROS 2 represents a significant milestone in the evolution of industrial automation. By combining the strengths of CoDeSys in industrial control with the flexibility and modularity of ROS 2, developers can create powerful and scalable control applications that leverage the best of both worlds. The integration is a mature, production-ready bridge that
If CODESYS and ROS 2 are running on the exact same hardware—such as an Industrial PC (IPC) utilizing a real-time Linux kernel (PREEMPT_RT)—they can communicate via Shared Memory or Inter-Process Communication (IPC). A dedicated ROS 2 node writes velocity commands to shared memory, which the CODESYS runtime reads deterministically to drive the motors. Step-by-Step Implementation Guide
While highly effective, mixing IT and OT ecosystems presents unique engineering hurdles:
Lacks built-in data schemas; requires manual mapping of data arrays on both sides, increasing the risk of configuration errors. Step-by-Step Integration Guide: Using OPC UA : PLCs excel at real-time, deterministic control
Inside your codesys_bridge package, create a node script ( bridge_node.py ) utilizing the asyncua library to fetch data from CODESYS and publish it onto a ROS2 topic.
CODESYS and ROS 2 Integration: Bridging Industrial Automation and Advanced Robotics
ROS 2 is an open-source software framework developed by the Open Source Robotics Foundation (OSRF). It is designed to simplify the development of complex robot applications by providing a flexible and scalable architecture. ROS 2 offers a wide range of features, including: