Artificial Intelligence (AI) for Robotics Training Course

This instructor-led, live training in Italy (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 on Italy focuses on ROS-PLC integration and digital twins within industrial automation. Participants will learn to synchronize robotic systems with PLCs, develop digital replicas for simulation purposes, and enhance production workflows through real-time data exchange and sophisticated monitoring techniques.

This instructor-led live training in Italy (online or onsite) is designed for engineers who wish to explore the applicability of artificial intelligence to mechatronic systems.

By the end 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 Italy (online or onsite) targets 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.
• Construct robots capable of executing complex tasks in dynamic environments.
• Tackle challenges related to real-time data processing and actuation.

This live, instructor-led training on Italy (available online or onsite) is tailored for intermediate-level professionals aiming to strengthen their expertise in the design, programming, and deployment of intelligent robotic systems for automation and other domains.

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

• Comprehend the underlying principles of Physical AI and its relevance to robotics and automation.
• Create and program intelligent robotic systems capable of operating in dynamic settings.
• Integrate AI models to facilitate autonomous decision-making in robotic units.
• Apply simulation tools for efficient robotic testing and performance optimization.
• Manage technical challenges including sensor fusion, real-time data processing, and energy consumption.

This advanced training focuses on Italy, applying deep learning to robotic manipulation. Participants will master perception, grasp planning, and control through the use of neural networks and ROS 2. Practical simulation exercises ensure readiness to deploy intelligent and adaptable grasping solutions on physical robotic arms with confidence.