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

This live, instructor-led training on Latvia, delivered either online or on-site, is tailored for intermediate-level participants interested in exploring the influence of collaborative robots (cobots) and human-centric AI systems on modern workplaces.

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

• Understand the fundamental principles of Human-Centric Physical AI and its real-world applications.
• Explore the contribution of collaborative robots to enhancing operational productivity.
• Identify and resolve key challenges in human-machine interaction.
• Design workflows that foster optimal collaboration between humans and AI-driven systems.
• Champion a culture of innovation and adaptability in environments integrated with AI.

Explore this practical HRI course in Latvia, focusing on voice, gesture, and collaborative control. Build intuitive, multimodal interfaces that foster safe human-robot collaboration, with an emphasis on practical design, speech recognition, gesture detection, and shared autonomy to enhance both usability and safety.

This instructor-led live training, conducted Latvia (either online or on-site), is designed for engineers looking to explore the application of artificial intelligence within mechatronic systems.

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

• Develop a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehend the principles of neural networks and distinct learning techniques.
• Effectively select AI methodologies for solving real-world issues.
• Integrate AI applications into mechatronic engineering practices.

An advanced training program in Latvia that focuses on the design and coordination of multi-robot systems. Participants will gain the ability 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 live, instructor-led training, offered in Latvia via online or on-site sessions, targets advanced robotics engineers and AI researchers aiming to apply Multimodal AI for the integration of varied sensory inputs. The objective is to enable the creation of more autonomous and efficient robotic systems that possess the capabilities to see, hear, and touch.

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

• Integrate multimodal sensing into robotic systems.
• Formulate AI algorithms for effective sensor fusion and decision-making.
• Develop robots that can manage complex tasks in fluid, dynamic environments.
• Overcome obstacles related to real-time data handling and actuation.

Targeted at intermediate-level automation engineers and control system designers, this instructor-led live training in Latvia (online or onsite) is designed for those looking to implement motion control solutions using Omron PLCs.

Once finished, participants will be equipped to:

• Comprehend essential motion control principles and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Code and fine-tune single-axis and multi-axis motion control.
• Execute coordinated motion strategies, including interpolation and synchronization.

This live, instructor-led training in Latvia (available online or on-site) is designed for automation engineers and control system designers aiming to configure, program, and commission Omron Sysmac systems. The content covers NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMIs, and NX safety hardware.

This instructor-led, live training in Latvia (available online or on-site) is designed for intermediate-level professionals aiming to strengthen their capabilities in designing, programming, and deploying intelligent robotic systems for automation and broader applications.

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

• Comprehend the fundamentals of Physical AI and its practical applications in robotics and automation.
• Design and program intelligent robotic systems suited for dynamic settings.
• Integrate AI models to support autonomous decision-making in robots.
• Employ simulation tools to enhance robotic testing and optimization processes.
• Tackle key challenges such as sensor fusion, real-time processing, and energy efficiency.