AI for Robotics marks the convergence of intelligence and physical movement—a domain where algorithms process information, sensors interpret the environment, and machines execute tasks with intent. This is the frontier where raw data evolves into precise dexterity, driving the advancement of autonomous systems, industrial automation, and smart machinery.
Through these instructor-led live training programs, participants discover how artificial intelligence reshapes robotics into adaptive, self-learning entities. By engaging in practical exercises, they gain deep insights into perception models, motion planning, reinforcement learning, and AI-centric control frameworks that enable machines to exhibit responsiveness akin to human behavior.
Online participants are placed in a setting that replicates the dynamic rhythm of a physical laboratory. They are guided step-by-step through live demonstrations and collaborative coding via an interactive remote desktop. Each session is designed as a joint inquiry into logic and movement, rather than a unilateral presentation.
For teams that favor hands-on construction and testing in a shared space, onsite live training in Athens—conducted either at the client’s facility or within NobleProg’s corporate training centers—transforms educational theory into practical experimentation. This is an environment where robotics, code, and innovation intersect, allowing theoretical concepts to manifest in the physical world.
Often referred to as Robotics AI or Intelligent Robotics, our training empowers professionals to unify software and mechanical systems—creating platforms that can sense, reason, and act with enhanced autonomy and accuracy.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
Offered by Athens, 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 practical HRI course in Athens 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 Athens 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.
Advanced training in Athens 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.
This advanced training on Athens 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 live, instructor-led training in Athens guides advanced professionals in integrating TinyML into autonomous robotics. Participants will design optimized models, implement on-device perception pipelines, and deploy lightweight AI on embedded hardware to achieve real-time autonomy.
This 21-hour, instructor-led training on Athens delves into safety cases, verification methods, and Explainable AI for robotics. Participants will learn to apply hazard analysis, ethical governance, and compliance standards to guarantee transparent and trustworthy robotic decision-making in operational settings.
This live training in Athens guides intermediate engineers in deploying TinyML models for robotics. Participants will learn to optimize inference for speed and energy efficiency, integrate AI into control systems, and build autonomous, low-latency robotic solutions directly on embedded hardware.
This instructor-led, live training in Athens (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 live instructor-led training in Athens 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.
This instructor-led training in Athens 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 Athens (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.
In Athens, this live course empowers senior engineers with AI competencies for robotic sensing, planning, and control. Learners will implement sensor fusion, engineer motion algorithms, and deploy learning-driven strategies to seamlessly embed intelligent systems into intelligent manufacturing processes.
This live, instructor-led training in Athens 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 live, instructor-led training in Athens (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.
This live, instructor-led training in Athens delves into the core concepts and hands-on fundamentals of AI for Robotics. It helps participants develop practical skills that are directly applicable to real-world work environments and modern business needs, utilizing key technologies such as ROS 2, TensorFlow, and OpenCV.
This live, instructor-led training in Athens guides developers in building and deploying bots from the ground up. Participants will examine essential frameworks, design conversational logic, and build sample chatbots for Facebook Messenger and the Microsoft Bot Framework.
This instructor-led live training in Athens (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.
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Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
Ryle - PHILIPPINE MILITARY ACADEMY
Course - Artificial Intelligence (AI) for Robotics
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