Human-Centric Physical AI: Collaborative Robots and Beyond Training Course

This instructor-led live training in Germany empowers intermediate robotics engineers with practical expertise in autonomous navigation and SLAM utilizing ROS 2. Participants will learn to integrate LiDAR sensors, apply mapping algorithms, conduct simulations in Gazebo, and deploy functional navigation stacks on real-world physical robots.

This instructor-led training in Germany focuses on computer vision for robotics, utilizing OpenCV and deep learning. Participants will acquire the skills to implement perception pipelines, integrate detection models, and deploy systems on embedded platforms to achieve autonomous control.

This live training in Germany guides intermediate engineers through the deployment of TinyML models for robotics. Participants will learn to optimize inference for speed and energy efficiency, integrate AI into control systems, and construct autonomous, low-latency robotic solutions directly on embedded hardware.

This practical HRI course in Germany focuses on voice, gesture, and collaborative control. It guides you through building intuitive, multimodal interfaces for safe human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety.

This hands-on training in Germany 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 Germany (available online or onsite) is tailored for engineers looking to explore the application of artificial intelligence within mechatronic systems.

By the conclusion of this training, participants will have the ability to:

• Develop a broad understanding of artificial intelligence, machine learning, and computational intelligence.
• Comprehend the underlying concepts of neural networks and distinct learning methods.
• Effectively select artificial intelligence approaches for solving real-life problems.
• Deploy AI applications in the field of mechatronic engineering.

An advanced course in Germany that focuses on the design and coordination of multi-robot systems. Participants will master the modeling of swarm intelligence, the implementation of distributed decision-making, and the optimization of inter-agent collaboration through hands-on simulation in ROS 2 and Gazebo, preparing them for real-world applications.

This instructor-led, live training in Germany (online or onsite) is tailored for advanced robotics engineers and AI researchers. It focuses on utilizing Multimodal AI to integrate various sensory data streams, enabling the creation of highly autonomous and efficient robots that can perceive and interact with their surroundings through sight, sound, and touch.

By the end of this program, 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.

This live, instructor-led training in Germany, delivered either online or on-site, is designed for intermediate-level participants looking to refine their skills in designing, programming, and deploying intelligent robotic systems for automation and broader applications.

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

• Grasp 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 drive autonomous decision-making in robotic systems.
• Apply simulation tools for effective robotic testing and optimization.
• Navigate complex challenges such as sensor fusion, real-time data processing, and energy efficiency.

This practical, instructor-led training in Germany focuses on rapid robotics prototyping leveraging ROS 2 and Docker. Learners will acquire hands-on expertise in efficiently building, testing, and deploying modular robotic systems, with a specific emphasis on containerization, simulation, and version control to support scalable development.

This instructor-led live training in Germany explores the principles of reinforcement learning and advanced deep RL methods such as PPO and DDPG. Participants will apply algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to address complex tasks.

Advanced training in Germany focusing on deep learning for robotic manipulation. Acquire skills in perception, grasp planning, and control utilizing neural networks and ROS 2. Simulation-based hands-on exercises prepare you to effectively deploy intelligent, adaptive grasping solutions on physical robotic arms.

In Germany, this live training empowers advanced engineers with the AI skills necessary for robotic perception, planning, and control. Participants will leverage sensor fusion, develop motion algorithms, and implement learning-based strategies to effectively integrate intelligent systems into smart manufacturing workflows.