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

This instructor-led, live training in Sweden (online or onsite) targets intermediate-level participants keen on exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

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

• Grasp the principles of Human-Centric Physical AI and its practical applications.
• Investigate how collaborative robots enhance workplace productivity.
• Identify and resolve challenges associated with human-machine interactions.
• Develop workflows that optimize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability in workplaces integrated with AI.

This practical HRI module in Sweden focuses on integrating voice, gestures, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces that facilitate safe human-robot collaboration, with a strong emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to optimize both usability and safety.

This instructor-led, live training in Sweden (online or onsite) is designed for engineers who want to explore the application of artificial intelligence to mechatronic systems.

Upon completing this training, participants will be able to:

• Obtain an overview of artificial intelligence, machine learning, and computational intelligence.
• Comprehend the concepts of neural networks and various learning methodologies.
• Select appropriate artificial intelligence approaches for real-world problems.
• Implement AI applications within mechatronic engineering.

An advanced training in Sweden focused on the design and coordination of multi-robot systems. Learners will master modeling swarm intelligence, executing distributed decision-making, and optimizing agent collaboration through hands-on simulation in ROS 2 and Gazebo for practical real-world applications.

This instructor-led, live training in Sweden (online or onsite) is designed for advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI to integrate various sensory data, creating more autonomous and efficient robots that can see, hear, and touch.

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

• Implement multimodal sensing in robotic systems.
• Develop AI algorithms for sensor fusion and decision-making.
• Create robots that can perform complex tasks in dynamic environments.
• Address challenges in real-time data processing and actuation.

This instructor-led live training in Sweden (available online or onsite) is tailored for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

Upon completion of this training, participants will be capable of:

• Grasping core motion control concepts and their practical applications.
• Configuring motion-related hardware and software within Sysmac Studio.
• Programming and optimizing motion control for both single-axis and multi-axis setups.
• Executing coordinated motion strategies, encompassing interpolation and synchronization.

This instructor-led, live training in Sweden (online or onsite) is aimed at automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This live, instructor-led training on Sweden (delivered online or on-site) is designed for intermediate-level professionals seeking to elevate their expertise in creating, coding, and implementing intelligent robotic systems for automation and beyond.

By the conclusion of the program, participants will possess the ability to:

• Comprehend the foundational principles of Physical AI and their relevance in robotics and automation sectors.
• Design and program intelligent robotic systems that adapt to dynamic environments.
• Integrate AI models to facilitate autonomous decision-making in robots.
• Apply simulation tools to streamline robotic testing and optimize system performance.
• Tackle technical hurdles such as sensor fusion, real-time processing, and energy efficiency.