Industrial Automation Training in Graz

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a hands-on course focused on bridging industrial automation with modern robotics frameworks. Participants will learn to integrate ROS-based robotic systems with PLCs for synchronized operations and explore digital twin environments to simulate, monitor, and optimize production processes. The course emphasizes interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build practical skills in connecting ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization.

By the end of this training, participants will be able to:

• Understand communication protocols between ROS and PLC systems.
• Implement real-time data exchange between robots and industrial controllers.
• Develop digital twins for monitoring, testing, and process simulation.
• Integrate sensors, actuators, and robotic manipulators within industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Format of the Course

• Interactive lecture and architecture walkthroughs.
• Hands-on exercises integrating ROS and PLC systems.
• Simulation and digital twin project implementation.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI in Smart Factories is the application of artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is aimed at beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to how AI can be leveraged in smart factory environments.

By the end of this training, participants will be able to:

• Understand the core principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps involved in launching AI-driven initiatives.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level to advanced-level engineers and technicians who wish to learn how to program, operate, and optimize Fanuc and Epson robotic systems for industrial applications.

By the end of this training, participants will be able to:

• Understand the architecture and functionalities of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimize robotic workflows for improved efficiency.

A Remote Terminal Unit (RTU) is a critical field device used to collect data, transmit signals, and execute control commands within automation and power system networks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to configure RTUs for automation and control operations within power cell environments.

By the end of this training, participants will be equipped to:

• Set up RTU hardware and map input/output channels correctly.
• Configure communication parameters for integration with SCADA and control systems.
• Implement logic, alarms, and control strategies within RTU platforms.
• Troubleshoot RTU performance and communication issues effectively.

Format of the Course

• Instructor-guided presentations with real-world examples.
• Hands-on configuration activities and practical exercises.
• Live demonstrations of RTU communication and control workflows.

Course Customization Options

• Customized course versions are available based on specific RTU hardware models or control environments.

The Allen Bradley platform is a widely adopted industrial automation ecosystem used to configure, control, and integrate PLCs, HMIs, and networked devices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level automation professionals who wish to interconnect and integrate Allen Bradley automation devices using Ethernet for seamless communication across PLCs, HMIs, servers, and routers.

By the end of this training, participants will be prepared to:

• Configure Ethernet-based communication within the Allen Bradley ecosystem.
• Integrate PLCs, HMIs, servers, and routers using common communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Format of the Course

• Guided instruction with demonstrations using Allen Bradley tools.
• Hands-on integration exercises with Ethernet-connected devices.
• Practical configuration and testing in a live-lab environment.

Course Customization Options

• Customized training versions can be arranged based on specific device models or network architectures.

This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs.

By the end of this training, participants will be able to:

• Understand fundamental motion control concepts and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control.
• Implement coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level to intermediate-level engineers and technicians who wish to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

By the end of this training, participants will be able to:

• Understand the role and applications of AB PLCs in the manufacturing industry.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshoot common issues and perform maintenance on PLC systems.
• Design and implement a PLC-controlled system for a manufacturing process.
• Demonstrate proficiency in PLC programming through a practical project.

This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level programmers who wish to enhance their skills in Omron PLC programming, HMI configuration, motion control, and safety systems.

By the end of this training, participants will be able to:

• Configure and program Omron PLCs using Sysmac Studio.
• Understand and apply IEC concepts in ladder logic and structured text programming.
• Develop motion control programs for single-axis and coordinated movements.
• Create HMI interfaces using the NA series and integrate them with Sysmac controllers.
• Implement and simulate safety standards and programs using NX series safety hardware.

CANoe is a comprehensive software tool developed by Vector that is used for the development, testing, and analysis of in-vehicle networks and ECUs, especially those using the CAN (Controller Area Network) protocol.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level automotive engineers and testers who wish to use CANoe to simulate, test, and analyze CAN-based communication systems..

By the end of this training, participants will be able to:

• Install and configure CANoe and its components
• Understand CAN protocol fundamentals and message framing
• Create simulations for ECUs and CAN networks using CAPL scripting
• Monitor, analyze, and debug CAN traffic effectively

This course introduces the student to the basics of Programmable Logic Controllers (PLC). After the discussion of the fundamental concept of PLCs the basic Ladder Diagram instructions are learned and practiced in Industrial Automation tasks. Audience - Electrical Specialists - Mechanical Engineers - Programmers with interest in Industrial Automation

This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level automation engineers and enthusiasts who wish to learn the fundamentals of PLC ladder programming and apply it in industrial and personal projects.

By the end of this training, participants will be able to:

• Understand the basic concepts and applications of PLCs in automation systems.
• Write simple and advanced ladder programs using logical functions and memory management.
• Integrate PLCs with networks for broader system applications.
• Apply learned skills to create and test real-world automation scenarios.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

• Understand the key concepts used in robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
• Extend a Smart Robot's ability to perform complex tasks through Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.