Industrial Robotics Automation: ROS-PLC Integration & Digital Twins Training Course

This interactive, instructor-led training in Denmark, available either online or onsite, is tailored for intermediate-level professionals looking to explore the impact of collaborative robots (cobots) and other human-centric AI frameworks within contemporary business environments.

Upon completion of this program, participants will be equipped to:

• Grasp the fundamental principles of Human-Centric Physical AI and its practical applications.
• Investigate how collaborative robots contribute to elevating workplace efficiency.
• Recognize and mitigate common challenges arising from human-machine interactions.
• Craft workflows that maximize the collaborative potential between human teams and AI-driven systems.
• Foster an organizational culture that embraces innovation and adaptability in AI-enhanced settings.

This hands-on HRI course in Denmark focuses on voice, gesture, and collaborative control. Discover how to build intuitive, multimodal interfaces for safe human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to boost usability and safety.

Aimed at engineers looking to understand the application of artificial intelligence in mechatronic systems, this instructor-led live training is delivered either online or onsite in Denmark.

By the end of the program, participants will be able to:

• Gain a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehend the principles behind neural networks and diverse learning techniques.
• Effectively select AI approaches for practical problem-solving.
• Develop AI applications for use in mechatronic engineering.

An advanced training in Denmark focusing on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimise collaboration among agents through hands-on simulation in ROS 2 and Gazebo for practical real-world applications.

This live, instructor-led course offered in Denmark (online or onsite) targets advanced robotics engineers and AI researchers. It focuses on utilizing Multimodal AI to fuse various sensory data streams, enabling the creation of highly autonomous and efficient robots that can see, hear, and touch.

By the conclusion of this training, participants will have the ability to:

• Integrate multimodal sensing into robotic systems.
• Design AI algorithms for effective sensor fusion and decision-making processes.
• Construct robots capable of managing complex tasks in changing environments.
• Overcome challenges associated with real-time data handling and actuation.

Designed for intermediate automation engineers and control system designers, this live, instructor-led course (delivered online or onsite) guides the implementation of motion control solutions using Omron PLCs.

By the end of the session, participants will be equipped to:

• Comprehend essential motion control concepts and their industrial applications.
• Configure motion hardware and software components in Sysmac Studio.
• Program and fine-tune single-axis and multi-axis motion control systems.
• Execute coordinated motion strategies, encompassing interpolation and synchronization.

This live, instructor-led training session in Denmark (delivered online or on-site) is tailored for automation engineers and control system designers seeking to configure, programme, and commission Omron Sysmac systems, including NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This instructor-led, live training in Denmark—delivered online or onsite—targets intermediate-level participants looking to elevate their skills in designing, programming, and deploying intelligent robotic systems for automation and broader uses.

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

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and program intelligent robotic systems for dynamic environments.
• Implement AI models to drive autonomous decision-making in robots.
• Leverage simulation tools for effective robotic testing and optimization.
• Address key challenges including sensor fusion, real-time processing, and energy efficiency.