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

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level participants eager to explore the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

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

• Grasp the fundamental principles of Human-Centric Physical AI and its practical applications.
• Examine how collaborative robots enhance workplace productivity.
• Identify and address challenges inherent in human-machine interactions.
• Design workflows that maximize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability within AI-integrated workplaces.

This practical HRI course in Argentina explores voice, gesture, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces that promote safe human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety.

This instructor-led, live training in Argentina (online or onsite) is designed for engineers interested in understanding how artificial intelligence can be applied to mechatronic systems.

Upon completing this training, participants will be able to:

• Obtain a comprehensive overview of artificial intelligence, machine learning, and computational intelligence.
• Grasp the fundamental concepts of neural networks and various learning methodologies.
• Select appropriate artificial intelligence approaches to effectively address real-world challenges.
• Implement AI solutions within the context of mechatronic engineering.

This advanced training on Argentina focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize collaboration among agents through hands-on simulation in ROS 2 and Gazebo, tailored for real-world applications.

This instructor-led, live training in Argentina (online or onsite) is designed for advanced robotics engineers and AI researchers aiming to utilize Multimodal AI to integrate various sensory data. The objective is to create more autonomous and efficient robots capable of seeing, hearing, and touching.

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 Argentina (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 completing this training, participants will be able to:

• Grasp fundamental motion control concepts and their practical applications.
• Configure both motion hardware and software within Sysmac Studio.
• Program and optimize motion control for single-axis and multi-axis systems.
• Execute coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Argentina (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 Argentina, offered online or onsite, is designed for intermediate-level professionals aiming to elevate their capabilities in designing, programming, and deploying intelligent robotic systems for automation and extended use cases.

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

• Comprehend the core principles of Physical AI and apply its concepts in robotics and automation contexts.
• Design and program intelligent robotic systems tailored for dynamic environments.
• Implement AI models that drive autonomous decision-making in robots.
• Leverage simulation tools for thorough robotic testing and performance optimization.
• Navigate challenges related to sensor fusion, real-time processing, and energy efficiency.