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

This instructor-led, live training in Vietnam (online or onsite) targets 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 Vietnam focuses on voice, gesture, and collaborative control strategies. Participants will learn to construct intuitive, multimodal interfaces that facilitate safe human-robot cooperation, with an emphasis on real-world design principles, speech recognition, gesture detection, and shared autonomy to bolster both usability and safety standards.

This instructor-led live training in Vietnam (online or on-site) is designed for 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 course in Vietnam dedicated to the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, deploy distributed decision-making, and optimize agent collaboration through hands-on simulation in ROS 2 and Gazebo, tailored for real-world applications.

This instructor-led, live training in Vietnam (online or onsite) targets advanced robotics engineers and AI researchers aiming to leverage Multimodal AI. The course focuses on integrating diverse sensory data to build more autonomous and efficient robots that can see, hear, and touch.

Upon completion, 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.
• Tackle challenges related to real-time data processing and actuation.

This instructor-led live training in Vietnam (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 Vietnam (available online or onsite) targets automation engineers and control system designers aiming to configure, program, and commission Omron Sysmac systems, including NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This instructor-led live course in Vietnam, offered online or onsite, targets intermediate-level professionals aiming to boost their proficiency in designing, programming, and deploying intelligent robotic systems for automation and broader applications.

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

• Comprehend the fundamentals of Physical AI and its utility in robotics and automation.
• Design and program intelligent robotic systems for dynamic settings.
• Apply AI models to facilitate autonomous decision-making in robots.
• Leverage simulation tools for robust robotic testing and optimization.
• Manage critical issues such as sensor fusion, real-time processing, and energy efficiency.