Artificial Intelligence (AI) for Robotics Training Course

This instructor-led, live training in Czech Republic (online or onsite) is aimed at intermediate-level participants who wish to explore the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

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

• Understand the principles of Human-Centric Physical AI and its applications.
• Explore the role of collaborative robots in enhancing workplace productivity.
• Identify and address challenges in human-machine interactions.
• Design workflows that optimize collaboration between humans and AI-driven systems.
• Promote a culture of innovation and adaptability in AI-integrated workplaces.

This practical training in Czech Republic focuses on ROS-PLC integration and digital twins within the context of industrial automation. Participants will learn to synchronize robotic systems with PLCs, create digital replicas for simulation purposes, and enhance production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training in Czech Republic (online or onsite) targets engineers interested in learning how artificial intelligence applies to mechatronic systems.

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

• Gain an overview of artificial intelligence, machine learning, and computational intelligence.
• Understand the concepts of neural networks and different learning methods.
• Choose artificial intelligence approaches effectively for real-life problems.
• Implement AI applications in mechatronic engineering.

This instructor-led, live training in Czech Republic (online or onsite) targets advanced robotics engineers and AI researchers looking to leverage Multimodal AI. The course focuses on integrating diverse sensory data to build more autonomous and efficient robots that can see, hear, and touch.

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.
• Build robots capable of executing complex tasks in dynamic environments.
• Overcome challenges related to real-time data processing and actuation.

This live, instructor-led session in Czech Republic (conducted online or on-site) is tailored for intermediate-level participants seeking to refine their skills in designing, programming, and deploying intelligent robotic systems for automation and beyond.

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

• Comprehend the fundamentals of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems for dynamic environments.
• Implement AI models that facilitate autonomous decision-making in robots.
• Employ simulation tools to enhance robotic testing and optimization.
• Tackle key challenges, including sensor fusion, real-time processing, and energy efficiency.

An advanced training program on Czech Republic that applies deep learning to robotic manipulation. Develop skills in perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises will prepare you to effectively deploy intelligent, adaptable grasping solutions on real-world robotic arms.