Autonomous Navigation & SLAM with ROS 2 Training Course

This instructor-led Italy training focuses on applying computer vision and deep learning to robotics. Learners will master the implementation of perception pipelines, the integration of detection models, and the deployment of systems on embedded platforms for autonomous control.

This live training in Italy equips intermediate engineers with the skills to deploy TinyML models for robotics. Participants will learn 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 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 HRI course in Italy focuses on voice, gesture, and collaborative control. It guides learners in building intuitive, multimodal interfaces for safe human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to enhance both usability and safety.

This practical training in Italy addresses ROS-PLC integration and digital twins within industrial automation. Participants will 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 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 advanced course in Italy focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, execute distributed decision-making, and optimize agent collaboration through hands-on simulation using ROS 2 and Gazebo, preparing them for real-world applications.

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 practical, instructor-led training in Italy focuses on rapid robotics prototyping using ROS 2 and Docker. Participants will acquire the skills to build, test, and deploy modular robotic systems with efficiency, gaining practical expertise in containerization, simulation, and version control to support scalable development.

This live, instructor-led training in Italy delves into reinforcement learning fundamentals and deep RL techniques such as PPO and DDPG. Participants will gain the ability to implement algorithms using Python and PyTorch, integrate these solutions with ROS 2 and OpenAI Gym, and train autonomous robots to tackle complex challenges.

A specialized training program in Italy focused on deep learning applications for robotic manipulation. Participants will acquire skills in perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises are provided to prepare you for effectively deploying intelligent and adaptable grasping solutions on real-world robotic arms.