Multimodal AI in Robotics 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 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.