Physical AI for Robotics and Automation Training Course

This live, instructor-led training in Thailand (delivered online or on-site) targets intermediate-level participants interested in understanding the contribution of collaborative robots (cobots) and other human-centric AI systems to modern workplace operations.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Human-Centric Physical AI and its real-world applications.
• Examine how collaborative robots contribute to boosting workplace efficiency.
• Recognize and mitigate complexities inherent in human-machine interactions.
• Structure workflows that foster seamless synergy between human teams and AI-driven systems.
• Cultivate an organizational culture that champions innovation and adaptability in AI-enabled environments.

This practical training in Thailand addresses ROS-PLC integration and digital twins within industrial automation. Discover how to synchronize robotic systems with PLCs, create digital replicas for simulation, and enhance production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training, conducted in Thailand (either online or on-site), is tailored for engineers eager to investigate the application of artificial intelligence within mechatronic systems.

By the conclusion of the program, participants will be capable of:

• Gaining a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehending neural network concepts and diverse learning techniques.
• Effectively selecting AI methodologies to solve practical problems.
• Applying AI technologies in mechatronic engineering projects.

This instructor-led live training in Thailand (delivered online or onsite) is tailored for advanced robotics engineers and AI researchers. It focuses on applying Multimodal AI to synthesize various sensory data streams, enabling the creation of more autonomous and efficient robots with multimodal perception capabilities.

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

• Integrate multimodal sensing into robotic architectures.
• Design AI algorithms for sensor fusion and strategic decision-making.
• Develop robots that can handle complex tasks in fluctuating environments.
• Overcome challenges associated with real-time data processing and actuation.

An advanced course in Thailand focusing on deep learning for robotic manipulation. Gain skills in perception, grasp planning, and control utilizing neural networks and ROS 2. Practical simulation exercises prepare you to effectively deploy intelligent, adaptable grasping solutions on real robotic arms.