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

This instructor-led, live training in Serbia empowers intermediate robotics engineers with practical expertise in autonomous navigation and SLAM via ROS 2. Participants will learn to integrate LiDAR sensors, execute mapping algorithms, perform simulations in Gazebo, and deploy functional navigation stacks on real-world robotic hardware.

This instructor-led training in Serbia focuses on robotics computer vision, utilizing OpenCV and deep learning. Participants 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 Serbia (online or onsite) is designed for intermediate-level participants interested in exploring 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:

• Grasp the core principles of Human-Centric Physical AI and its practical applications.
• Examine how collaborative robots contribute to enhancing workplace productivity.
• Recognize and resolve challenges related to human-machine interactions.
• Develop workflows that maximize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability in workplaces utilizing AI.

This practical HRI course in Serbia focuses on voice, gesture, and collaborative control. Participants will learn to create intuitive, multimodal interfaces that facilitate safe human-robot collaboration, with a focus on practical design principles, speech recognition, gesture detection, and shared autonomy to improve usability and safety.

This practical training in Serbia 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 purposes, and enhance production workflows through real-time data exchange and sophisticated monitoring techniques.

This instructor-led live training in Serbia (online or onsite) is designed for engineers seeking to understand how artificial intelligence can be applied to mechatronic systems.

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

• Acquire a comprehensive overview of artificial intelligence, machine learning, and computational intelligence.
• Comprehend the principles of neural networks and various learning methodologies.
• Select appropriate artificial intelligence strategies to address real-world challenges.
• Apply AI solutions within the field of mechatronic engineering.

A specialized training in Serbia focused on the design and coordination of multi-robot systems. Participants will master modeling swarm intelligence, implementing distributed decision-making, and optimizing agent collaboration through hands-on simulation in ROS 2 and Gazebo, preparing for real-world applications.

This instructor-led, live training in Serbia (online or onsite) targets advanced robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.

By the end of this training, 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 on Serbia—offered online or on-site—targets intermediate-level participants aiming to strengthen their capabilities in designing, programming, and deploying intelligent robotic systems for automation and beyond.

Upon completing this training, participants will be able to:

• Understand the core principles of Physical AI and their application in robotics and automation.
• Design and program intelligent robotic systems for dynamic environments.
• Implement AI models for autonomous decision-making in robots.
• Utilize simulation tools for robotic testing and optimization.
• Address challenges related to sensor fusion, real-time processing, and energy efficiency.

This hands-on, instructor-led training in Serbia explores rapid prototyping in robotics via ROS 2 and Docker. Participants gain practical skills in building, testing, and deploying modular robotic systems, with a focus on containerization, simulation, and version control to support scalable development.

This live, instructor-led training in Serbia explores the fundamentals of reinforcement learning and advanced techniques like PPO and DDPG. Participants will build algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and prepare autonomous robots to tackle complex challenges.

An advanced training in Serbia focusing on deep learning for robotic manipulation. Acquire skills in perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises prepare you to effectively deploy intelligent, adaptable grasping solutions on real robotic arms.