Artificial Intelligence (AI) for Mechatronics 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 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.

This live, instructor-led training in Thailand, offered either online or onsite, is designed for intermediate-level participants looking to advance their skills in creating, coding, and deploying intelligent robotic systems for automation and complex scenarios.

By the end of the session, attendees will be able to:

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems suited for dynamic settings.
• Implement AI models to facilitate autonomous decision-making in robots.
• Apply simulation tools for rigorous robotic testing and optimization.
• Navigate challenges involving sensor fusion, real-time data processing, and energy efficiency.

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.