Autonomous Navigation & SLAM with ROS 2 Training Course

This instructor-led Norway training explores computer vision in robotics through the lens of OpenCV and deep learning. Participants will master implementing perception pipelines, integrating detection models, and deploying systems on embedded platforms to achieve autonomous control.

This live training in Norway supports intermediate engineers in deploying TinyML models for robotic applications. Gain the skills to optimize inference for speed and energy efficiency, integrate AI into control systems, and develop autonomous, low-latency robotic solutions directly on embedded hardware.

This instructor-led, live training in Norway (online or onsite) targets 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 hands-on HRI course in Norway explores voice, gestures, and collaborative control. Participants will learn to build 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 improve both usability and safety.

This hands-on training in Norway covers ROS-PLC integration and digital twins for industrial automation. 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 in Norway (online or onsite) is aimed at engineers who wish to learn about 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.

An advanced training in Norway that covers the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and enhance agent collaboration through hands-on simulation in ROS 2 and Gazebo, preparing for real-world applications.

This instructor-led, live training in Norway (online or onsite) is designed for advanced robotics engineers and AI researchers seeking to leverage Multimodal AI to integrate diverse sensory inputs. The objective is to build more autonomous and efficient robots that possess the ability to see, hear, and touch.

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

• Implement multimodal sensing solutions within robotic systems.
• Develop AI algorithms for sensor fusion and strategic decision-making.
• Design robots capable of executing complex tasks in dynamic environments.
• Resolve challenges related to real-time data processing and actuation.

This instructor-led live training in Norway (online or onsite) is tailored for intermediate-level professionals seeking to advance their capabilities in designing, coding, and deploying intelligent robotic systems for automation and related fields.

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

• Understand the principles of Physical AI and its relevance in robotics and automation.
• Design and program intelligent robotic systems suited for dynamic environments.
• Implement AI models that enable autonomous decision-making in robots.
• Leverage simulation tools for rigorous robotic testing and optimization.
• Tackle challenges related to sensor fusion, real-time processing, and energy efficiency.

This instructor-led practical course in Norway addresses rapid prototyping in robotics through the integration of ROS 2 and Docker. Participants will acquire the skills to efficiently build, test, and deploy modular robotic systems, gaining hands-on expertise in containerization, simulation, and version control to support scalable development efforts.

This instructor-led live training in Norway delves into reinforcement learning principles 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 tackle complex challenges.

This advanced training in Norway covers the application of deep learning to robotic manipulation. Gain insights into perception, grasp planning, and control through neural networks and ROS 2. Practical exercises in simulation equip you to successfully deploy intelligent, adaptable grasping solutions on real robotic arms.

During Norway, this live training empowers advanced engineers with AI skills focused on robotic perception, planning, and control. Participants will apply sensor fusion, develop motion algorithms, and deploy learning-based strategies to effectively integrate intelligent systems into smart manufacturing workflows.