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

This instructor-led, live training in Greece (offered online or onsite) is designed for intermediate-level learners interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

Upon completing this training, participants will be able to:

• Understand the core principles of Human-Centric Physical AI and their 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 Greece addresses voice, gesture, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces for secure human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to optimize usability and safety.

This instructor-led live training in Greece (available online or onsite) is designed for engineers who wish to explore the application 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 training on Greece focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement 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 Greece (online or onsite) targets advanced robotics engineers and AI researchers looking to leverage Multimodal AI. The course focuses on integrating diverse sensory data to build 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.
• Build robots capable of executing complex tasks in dynamic environments.
• Address challenges related to real-time data processing and actuation.

This instructor-led, live training in Greece (online or onsite) is designed for intermediate-level automation engineers and control system designers who wish 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 hardware and software within Sysmac Studio.
• Programming and optimizing both single-axis and multi-axis motion control.
• Deploying coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Greece (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 in Greece (available online or onsite) is tailored for intermediate-level professionals seeking to refine their capabilities in designing, coding, and deploying intelligent robotic systems for automation and other domains.

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

• Comprehend the fundamental principles of Physical AI and their relevance in robotics and automation.
• Design and program intelligent robotic systems capable of operating in dynamic settings.
• Integrate AI models to enable autonomous decision-making in robotic platforms.
• Employ simulation tools to test and optimize robotic performance.
• Tackle key challenges related to sensor fusion, real-time processing, and energy efficiency.