Ros2 — Codesys

Let’s look at a practical workflow for connecting a CODESYS-controlled robotic arm or AMR base to a ROS 2 navigation stack using an OPC UA bridge. Step 1: Configure the CODESYS OPC UA Server Open your CODESYS project. Add a object to your application tree.

ROS 2 calculates a path that avoids a human worker who just walked into the frame. ROS 2 sends the new coordinates to

, the de facto standard for flexible robotics middleware, allows systems to combine robust industrial hardware control with advanced robotic motion planning. 1. Executive Summary codesys ros2

An AMR requires heavy algorithmic computations for mapping and path planning, but strict safety and reliability for motor actuation. ROS 2 handles the LiDAR processing, costmaps, and navigation routes. It sends path trajectories to a CODESYS runtime, which manages the motor drives via CANopen or EtherCAT, monitors bumper sensors, and handles the safety-rated laser scanner dropouts. AI-Driven Pick-and-Place Systems

is the industry standard for PLC programming, known for its deterministic real-time performance and reliability. ROS 2 (Robot Operating System 2) has become the standard for advanced robotics, offering powerful libraries for navigation, vision, and AI. Let’s look at a practical workflow for connecting

Integrating CODESYS with ROS 2 allows companies to build robust, industrial-grade mobile robots and flexible manufacturing cells. By delegating high-level perception to ROS 2 and low-level deterministic control to CODESYS, engineers no longer have to compromise between cutting-edge software capabilities and rock-solid industrial reliability.

Then Mira, the automation engineer, had an idea that would change the plant’s heartbeat. She imagined CODESYS not as a siloed PLC runtime but as a bridge: controllers still enforcing safety interlocks and hard real-time motion, while ROS 2 orchestrated high-level behaviors, vision-guided corrections, and fleet coordination. She sketched a layered architecture on a napkin: CODESYS managing deterministic I/O and motion via its runtime, ROS 2 nodes running on edge computers for perception and planning, and a middleware translator whispering between them. The translator would expose ROS 2 topics as CODESYS variables and map CODESYS events into ROS 2 services—two ecosystems speaking through a well-defined protocol. ROS 2 calculates a path that avoids a

Executing highly repetitive, microsecond-level control loops. ROS 2: The Robotic Brain

If using the OPC UA method, configure the CODESYS Symbol Configuration to expose your control variables. On the ROS2 side, write a bridge node that subscribes to your robot's /cmd_vel (command velocity) topic and writes those linear and angular velocity vectors directly into the CODESYS OPC UA tags. Step 4: Manage the Determinism Frontier

There isn't a single "official" driver, but several proven architectural patterns exist: ScalABLE40/robin: The ROS-CODESYS Bridge - GitHub

: It provides a CODESYS library that allows you to use a "Robin" function block within your PLC logic to exchange data.