Physical AI for Robotics and Automation Training Course

This instructor-led, live training in Sweden (online or onsite) targets intermediate-level participants keen on exploring 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:

• Grasp the principles of Human-Centric Physical AI and its practical applications.
• Investigate how collaborative robots enhance workplace productivity.
• Identify and resolve challenges associated with human-machine interactions.
• Develop workflows that optimize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability in workplaces integrated with AI.

This practical HRI module in Sweden focuses on integrating voice, gestures, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces that facilitate safe human-robot collaboration, with a strong emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to optimize both usability and safety.

This hands-on training in Sweden delves into ROS-PLC integration and digital twins within the context of 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 advanced monitoring techniques.

This instructor-led, live training in Sweden (online or onsite) is designed for engineers who want to explore the application of artificial intelligence to mechatronic systems.

Upon completing this training, participants will be able to:

• Obtain an overview of artificial intelligence, machine learning, and computational intelligence.
• Comprehend the concepts of neural networks and various learning methodologies.
• Select appropriate artificial intelligence approaches for real-world problems.
• Implement AI applications within mechatronic engineering.

This instructor-led, live training in Sweden (online or onsite) is designed for advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI to integrate various sensory data, creating 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.

Offered in Sweden, this instructor-led training delivers practical skills in rapid robotics prototyping using ROS 2 and Docker. Participants gain hands-on experience in building, testing, and deploying modular robotic systems, mastering essential techniques in containerization, simulation, and version control to support scalable development efforts.

An advanced training in Sweden focusing on deep learning for robotic manipulation. Develop skills in perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises equip you to successfully deploy intelligent, adaptable grasping solutions on real robotic arms.