Human-Centric Physical AI: Collaborative Robots and Beyond Training Course

This hands-on training in Slovakia focuses on ROS-PLC integration and digital twins for industrial automation. Learn to synchronize robotic systems with PLCs, develop digital replicas for simulation purposes, and enhance production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training, conducted Slovakia (online or onsite), targets engineers interested in exploring the application of artificial intelligence to mechatronic systems.

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

• Gain a broad understanding of artificial intelligence, machine learning, and computational intelligence.
• Understand the core concepts of neural networks and diverse learning methods.
• Effectively select artificial intelligence approaches for addressing practical challenges.
• Implement AI applications within mechatronic engineering contexts.

This instructor-led, live training in Slovakia (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 live, instructor-led training in Slovakia (delivered online or on-site) is tailored for intermediate-level professionals seeking to refine their expertise in designing, programming, and deploying intelligent robotic systems for automation and advanced use cases.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Physical AI and their practical applications in robotics and automation.
• Architect and program intelligent robotic systems tailored for dynamic environments.
• Integrate AI models to facilitate autonomous decision-making within robotic frameworks.
• Utilize simulation tools to streamline robotic testing and optimization processes.
• Navigate complex challenges, including sensor fusion, real-time data processing, and energy efficiency.

Advanced training in Slovakia focusing on deep learning applications in robotic manipulation. Acquire skills in perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises prepare you to effectively deploy intelligent, adaptable grasping solutions on real-world robotic arms.