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

This instructor-led, live training in Italy (online or onsite) is aimed at intermediate-level participants who wish to explore 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:

• Understand the principles of Human-Centric Physical AI and its applications.
• Explore the role of collaborative robots in enhancing workplace productivity.
• Identify and address challenges in human-machine interactions.
• Design workflows that optimize collaboration between humans and AI-driven systems.
• Promote a culture of innovation and adaptability in AI-integrated workplaces.

This practical HRI course in Italy focuses on voice, gesture, and collaborative control. It guides learners in building intuitive, multimodal interfaces for safe human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to enhance both usability and safety.

This instructor-led live training in Italy (online or onsite) is designed for engineers who wish to explore the applicability of artificial intelligence to mechatronic systems.

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

• Gain an overview of artificial intelligence, machine learning, and computational intelligence.
• Understand the concepts of neural networks and different learning methods.
• Choose artificial intelligence approaches effectively for real-life problems.
• Implement AI applications in mechatronic engineering.

This advanced course in Italy focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, execute distributed decision-making, and optimize agent collaboration through hands-on simulation using ROS 2 and Gazebo, preparing them for real-world applications.

This instructor-led, live training in Italy (online or onsite) targets advanced robotics engineers and AI researchers seeking to leverage Multimodal AI to integrate diverse sensory data, thereby creating more autonomous and efficient robots capable of seeing, hearing, and touching.

Upon completion of this training, participants will be able to:

• Implement multimodal sensing within robotic systems.
• Develop AI algorithms for sensor fusion and decision-making processes.
• Construct robots capable of executing complex tasks in dynamic environments.
• Tackle challenges related to real-time data processing and actuation.

This instructor-led, live training in Italy (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 Italy (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 Italy (available online or onsite) is tailored for intermediate-level professionals aiming to strengthen their expertise in the design, programming, and deployment of intelligent robotic systems for automation and other domains.

By the conclusion of this program, participants will be able to:

• Comprehend the underlying principles of Physical AI and its relevance to robotics and automation.
• Create and program intelligent robotic systems capable of operating in dynamic settings.
• Integrate AI models to facilitate autonomous decision-making in robotic units.
• Apply simulation tools for efficient robotic testing and performance optimization.
• Manage technical challenges including sensor fusion, real-time data processing, and energy consumption.