Industrial Robotics Automation: ROS-PLC Integration & Digital Twins Training Course

This instructor-led, live training in Bulgaria (online or onsite) targets intermediate-level professionals interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

By the conclusion 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 Bulgaria explores voice, gesture, and collaborative control. Participants will learn to craft intuitive, multimodal interfaces that facilitate safe human-robot collaboration, with a strong emphasis on applied design principles, speech recognition, gesture detection, and shared autonomy to optimize both usability and safety.

This instructor-led live training in Bulgaria (online or onsite) is designed for engineers who wish to learn about 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.

An advanced course on Bulgaria focusing 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 simulations in ROS 2 and Gazebo, aimed at real-world applications.

This instructor-led, live training in Bulgaria (online or onsite) is designed for advanced robotics engineers and AI researchers aiming to utilize Multimodal AI. The objective is to integrate various sensory inputs to develop highly autonomous and efficient robots capable of seeing, hearing, and touching.

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 in Bulgaria (online or onsite) is designed for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

Upon completion of this training, participants will be equipped to:

• Grasp fundamental motion control principles and their practical applications.
• Set up motion hardware and software configurations within Sysmac Studio.
• Program and optimize motion control for both single-axis and multi-axis systems.
• Deploy coordinated motion strategies, such as interpolation and synchronization.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This live, instructor-led session in Bulgaria (online or onsite) targets intermediate-level professionals aiming to elevate their capabilities in designing, coding, and deploying intelligent robotic systems for automation and broader use cases.

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

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and program intelligent robotic systems for dynamic environments.
• Implement AI models to facilitate autonomous decision-making in robots.
• Employ simulation tools for rigorous robotic testing and optimization.
• Address technical challenges including sensor fusion, real-time processing, and energy efficiency.