Physical AI for Robotics and Automation Training Course

Delivered as a live, instructor-led session in South Korea, this course empowers intermediate robotics engineers with practical expertise in autonomous navigation and SLAM using ROS 2. Participants will gain the skills to integrate LiDAR sensors, develop mapping algorithms, perform simulations in Gazebo, and deploy functional navigation stacks on real-world robotic platforms.

This instructor-led South Korea training focuses on applying computer vision and deep learning in robotics, powered by OpenCV. Participants will master the implementation of perception pipelines, integration of detection models, and the deployment of these systems on embedded platforms for autonomous control.

This live training in South Korea assists intermediate engineers in deploying TinyML models for robotic applications. Participants will learn to optimize inference for maximum speed and energy efficiency, integrate AI into control systems, and construct autonomous, low-latency robotic solutions directly on embedded hardware.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level participants interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

Upon completion of this training, participants will be able to:

• Grasp the core principles of Human-Centric Physical AI and its practical applications.
• Examine how collaborative robots contribute to enhanced workplace productivity.
• Recognize and tackle challenges associated with human-machine interactions.
• Create workflows that maximize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability in workplaces integrated with AI.

This practical HRI course in South Korea explores voice, gesture, and collaborative control mechanisms. It focuses on creating intuitive, multimodal interfaces for secure human-robot collaboration, emphasizing applied design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety.

This hands-on training in South Korea covers ROS-PLC integration and digital twins for industrial automation. Participants will learn to synchronize robotic systems with PLCs, develop digital replicas for simulation, and optimize production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training, held in South Korea (either online or onsite), is intended for engineers interested in applying artificial intelligence to mechatronic systems.

Upon completing this training, participants will be able to:

• Gain a comprehensive understanding of artificial intelligence, machine learning, and computational intelligence.
• Understand the principles of neural networks and various learning methodologies.
• Select the most effective AI approaches for solving real-world problems.
• Apply AI solutions within the field of mechatronic engineering.

An advanced course in South Korea focused on the design and coordination of multi-robot systems. Participants will gain proficiency in modeling swarm intelligence, executing distributed decision-making, and optimizing agent collaboration through hands-on simulation in ROS 2 and Gazebo, preparing them for real-world applications.

This instructor-led, live training in South Korea (online or onsite) is designed for advanced robotics engineers and AI researchers seeking to leverage Multimodal AI to integrate diverse sensory data, thereby 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 processes.
• Build robots capable of executing complex tasks in dynamic environments.
• Tackle challenges related to real-time data processing and actuation.

This practical, instructor-led training in South Korea focuses on rapid prototyping for robotics leveraging ROS 2 and Docker. Participants acquire hands-on proficiency in building, testing, and deploying modular robotic systems, mastering essential skills in containerization, simulation, and version control to support scalable development.

This instructor-led live training in South Korea explores the principles of reinforcement learning and deep RL techniques such as PPO and DDPG. Participants will learn to implement algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to resolve complex tasks.

This advanced training on South Korea focuses on applying deep learning to robotic manipulation. It covers learning perception, grasp planning, and control mechanisms using neural networks and ROS 2. Practical simulation exercises prepare you to effectively implement intelligent, adaptable grasping solutions on physical robotic arms.