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

This instructor-led, live training in Malaysia (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 Malaysia focuses on voice, gesture, and collaborative control. Participants will learn to create intuitive, multimodal interfaces for secure human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to enhance both usability and safety.

This instructor-led live training in Malaysia (available online or onsite) is aimed at engineers who wish to understand 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 on Malaysia that covers the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize agent collaboration through hands-on simulations in ROS 2 and Gazebo, targeting real-world applications.

This instructor-led, live training in Malaysia (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.

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 Malaysia (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 Malaysia (online or onsite) is aimed at automation engineers and control system designers who wish to configure, programme, 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 Malaysia, delivered either online or onsite, targets intermediate-level professionals looking to sharpen their skills in designing, programming, and deploying intelligent robotic systems for automation and beyond.

By the end of the session, participants will be capable of:

• Comprehending the core principles of Physical AI and its relevance to robotics and automation.
• Designing and programming intelligent robotic systems for complex, dynamic settings.
• Implementing AI models that facilitate autonomous decision-making in robots.
• Applying simulation tools to test and optimize robotic performance.
• Managing key challenges such as sensor fusion, real-time processing, and energy consumption.