Edge AI for Robots: TinyML, On-Device Inference & Optimization Training Course

This live, instructor-led training in Greece provides intermediate robotics engineers with practical expertise in autonomous navigation and SLAM through ROS 2. It covers integrating LiDAR sensors, executing mapping algorithms, simulating scenarios in Gazebo, and deploying real-world navigation stacks on physical robots.

This instructor-led training in Greece explores computer vision for robotics through the lens of OpenCV and deep learning. Learners will master the implementation of perception pipelines, integration of detection models, and deployment of systems on embedded platforms to achieve autonomous control.

This instructor-led, live training in Greece (offered online or onsite) is designed for intermediate-level learners interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

Upon completing this training, participants will be able to:

• Understand the core principles of Human-Centric Physical AI and their 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 Greece addresses voice, gesture, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces for secure human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to optimize usability and safety.

This practical training in Greece addresses ROS-PLC integration and digital twins within the context of industrial automation. Participants will learn to synchronize robotic systems with PLCs, create digital replicas for simulation, and enhance production workflows via real-time data exchange and advanced monitoring techniques.

This instructor-led live training in Greece (available online or onsite) is designed for engineers who wish to explore the application 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 training on Greece focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement 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 Greece (online or onsite) targets advanced robotics engineers and AI researchers looking to leverage Multimodal AI. The course focuses on integrating diverse sensory data to build 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.
• Build robots capable of executing complex tasks in dynamic environments.
• Address challenges related to real-time data processing and actuation.

This live, instructor-led training in Greece (available online or onsite) is tailored for intermediate-level professionals seeking to refine their capabilities in designing, coding, and deploying intelligent robotic systems for automation and other domains.

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

• Comprehend the fundamental principles of Physical AI and their relevance in robotics and automation.
• Design and program intelligent robotic systems capable of operating in dynamic settings.
• Integrate AI models to enable autonomous decision-making in robotic platforms.
• Employ simulation tools to test and optimize robotic performance.
• Tackle key challenges related to sensor fusion, real-time processing, and energy efficiency.

Offered by Greece, this practical, instructor-led course focuses on rapid prototyping in robotics using ROS 2 and Docker. Learners will acquire the skills necessary to build, test, and deploy modular robotic systems efficiently, gaining hands-on expertise in containerization, simulation, and version control to support scalable development efforts.

This live instructor-led training in Greece explores reinforcement learning principles alongside deep RL techniques such as PPO and DDPG. Participants will develop algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to resolve complex tasks.

Advanced training in Greece focusing on deep learning applications for robotic manipulation. Master perception, grasp planning, and control using neural networks and ROS 2. Simulation-based hands-on exercises equip you to effectively deploy intelligent and adaptable grasping solutions on real robotic arms.