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Duration 28 hours (4 days)
Course Outline
Foundations of Industrial Robotics and Automation
- Survey of the industrial robotics ecosystem
- Key communication standards: OPC UA, Modbus, and Profinet
- The specific roles of ROS and PLCs in automation settings
ROS-PLC Communication and Integration Strategies
- Exploring ROS topics, services, and message structures
- Essential PLC programming concepts for ROS connectivity
- Leveraging OPC UA and MQTT to achieve interoperability
Establishing the Integration Environment
- Installation and configuration of ROS 2 and Codesys
- Network configuration between the robot and the PLC
- Creating effective communication bridges between disparate systems
Controlling and Coordinating Industrial Robots
- Implementing ROS-based motion control for robotic arms
- Mapping PLC signals to achieve task synchronization
- Ensuring coordinated operation between robotic actions and machine processes
Digital Twins and Virtual Commissioning
- The concept and architectural design of digital twins in automation
- Simulating production lines using Gazebo or Unity Reflect
- Maintaining real-time feedback loops between physical and digital environments
Data Acquisition, Monitoring, and Optimization
- Gathering telemetry data from PLCs and sensors
- Utilizing Python or ROS tools for performance data analysis
- Refining robotic workflows through predictive analytics
Advanced Concepts in ROS-Industrial
- An introduction to ROS-Industrial interfaces and libraries
- Incorporating machine vision and AI-driven quality inspection
- Addressing security and maintenance within ROS-PLC systems
Practical Project: Integrated ROS-PLC Digital Twin
- Designing a virtual model of a robotic cell
- Linking the simulation environment with PLC control logic
- Testing real-time synchronization and performing optimization
Requirements
- Knowledge of industrial automation and PLC systems
- Proficiency in Python or ladder logic programming
- Fundamental understanding of robotics and control communication protocols
Audience
- Automation engineers responsible for developing or maintaining robotic systems
- Systems integrators deploying ROS-PLC communication solutions
- Professionals engaged with digital twins or industrial simulation environments
Testimonials (3)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
PLC basic knowledge
Bartosz - Phillips-Medisize Poland
Course - Introduction to OMRON PLC programming
its knowledge and utilization of AI for Robotics in the Future.
