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

This instructor-led, live training in Mexico (online or onsite) is tailored for intermediate-level participants interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern work environments.

Upon completing this training, participants will be able to:

• Grasp the core principles of Human-Centric Physical AI and its practical applications.
• Analyze how collaborative robots contribute to enhancing workplace efficiency.
• Recognize and resolve issues related to human-machine interaction.
• Create workflows that maximize collaboration between employees and AI-driven systems.
• Foster a culture of innovation and adaptability within organizations using AI technology.

This practical HRI course in Mexico explores voice, gesture, and collaborative control. It teaches you to build intuitive, multimodal interfaces for safe human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to improve usability and safety.

This instructor-led, live training in Mexico (online or onsite) is aimed at engineers who wish to learn about 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.

An advanced program in Mexico focused on the architecture and coordination of multi-robot teams. Learners will master swarm intelligence modeling, distributed decision-making, and agent collaboration through hands-on simulations in ROS 2 and Gazebo, preparing them for real-world deployment.

This instructor-led, live training in Mexico (online or onsite) is designed for advanced robotics engineers and AI researchers who want to leverage Multimodal AI to integrate diverse sensory data. The goal is to build more autonomous and efficient robots that can perceive through sight, sound, and touch.

Upon completion 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 Mexico (online or on-site) is designed for intermediate-level automation engineers and control system designers seeking 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 motion-related hardware and software within Sysmac Studio.
• Program and optimize motion control for both single-axis and multi-axis systems.
• Deploy coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in Mexico (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 Mexico (available online or onsite) is designed for intermediate professionals looking to strengthen their skills in the design, programming, and deployment of intelligent robotic systems for automation and other domains.

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

• Comprehend the foundational principles of Physical AI and their role in robotics and automation.
• Develop and program intelligent robotic systems suited for dynamic operational environments.
• Deploy AI models that facilitate autonomous decision-making in robots.
• Apply simulation tools for effective robotic testing and performance optimization.
• Navigate complex challenges such as sensor fusion, real-time processing, and energy efficiency.