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Course Outline
Foundations of Industrial Robotics and Automation
- Survey of the industrial robotics ecosystem
- Key communication standards: OPC UA, Modbus, and Profinet
- The distinct roles of ROS and PLCs in automation contexts
ROS-PLC Communication and Integration
- 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 for seamless robot-PLC interaction
- Constructing robust communication bridges between disparate systems
Control and Coordination of Industrial Robots
- Implementing ROS-based motion control for robotic arms
- Mapping PLC signals to achieve precise task synchronization
- Orchestrating coordinated operations between robots and machine processes
Digital Twins and Virtual Commissioning
- Understanding the architecture and application of digital twins in automation
- Simulating production lines using Gazebo or Unity Reflect
- Establishing real-time feedback loops between physical and digital environments
Data Acquisition, Monitoring, and Optimization
- Gathering telemetry data from PLCs and various sensors
- Utilizing Python or ROS tools to analyze performance metrics
- Enhancing robotic workflows through predictive analytics
Advanced Concepts in ROS-Industrial
- Overview of ROS-Industrial interfaces and libraries
- Incorporating machine vision and AI-driven quality inspection
- Addressing security and maintenance considerations in ROS-PLC systems
Capstone Project: ROS-PLC Integrated Digital Twin
- Designing a virtual model of a robotic cell
- Linking the simulation environment with PLC control logic
- Testing synchronization and optimization capabilities in real time
Requirements
- Working knowledge of industrial automation and PLC systems
- Proficiency in Python or ladder logic programming
- Fundamental understanding of robotics and control communication protocols
Target Audience
- Automation engineers responsible for developing or maintaining robotic systems
- Systems integrators specializing in ROS-PLC communication
- Professionals engaged in digital twin or industrial simulation environments
28 Hours
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.
