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

This instructor-led, live training in Taiwan (online or onsite) is aimed at 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 Taiwan addresses voice, gesture, and collaborative control. It guides learners in building intuitive, multimodal interfaces for secure human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to boost usability and safety.

This instructor-led live training in Taiwan (online or onsite) is tailored for engineers interested in applying artificial intelligence to mechatronic systems.

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

• Obtain a comprehensive understanding of artificial intelligence, machine learning, and computational intelligence.
• Grasp the fundamental concepts of neural networks and various learning methodologies.
• Effectively select appropriate artificial intelligence approaches for real-world challenges.
• Implement AI solutions within mechatronic engineering contexts.

An advanced program in Taiwan that focuses on the design and coordination of multi-robot systems. Learners will acquire the skills to model swarm intelligence, implement distributed decision-making, and enhance inter-agent collaboration through hands-on simulation using ROS 2 and Gazebo, applicable to real-world contexts.

This instructor-led, live training in Taiwan (online or onsite) is designed for advanced robotics engineers and AI researchers who aim to leverage Multimodal AI to integrate diverse sensory data, creating 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.
• Build robots capable of performing complex tasks in dynamic environments.
• Address challenges associated with real-time data processing and actuation.

This instructor-led live training in Taiwan (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 able to:

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

This instructor-led, live training in Taiwan (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 Taiwan, offered online or onsite, is tailored for intermediate-level participants seeking to refine their skills in designing, programming, and deploying intelligent robotic systems for automation and advanced use cases.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Physical AI and its practical applications in robotics and automation.
• Engineer and code intelligent robotic systems tailored for dynamic environments.
• Integrate AI models to enable autonomous decision-making capabilities in robots.
• Utilize simulation platforms for rigorous robotic testing and system optimization.
• Navigate complex challenges, including sensor fusion, real-time processing, and energy efficiency.