Building A Robot from the Ground Up Training Course

This instructor-led, live training (online or onsite) is tailored for beginner-level robotics engineers who aim to thoroughly master the operation and programming of the ABB IRB 2600ID robot for welding tasks.

Upon completing this training, participants will be able to:

• Understand the role of robotics in welding.
• Gain proficiency in programming the ABB IRB 2600ID robot for various welding tasks.
• Learn to operate the ABB IRB 2600ID robot safely and effectively.
• Comprehend the safety standards and procedures relevant to robotic welding operations.

In this instructor-led, live training in Uzbekistan, participants will learn how to program the Arduino using advanced techniques by creating a simple sensor alert system.

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

• Understand how Arduino works.
• Gain a deep understanding of the main components and functionalities of Arduino.
• Program the Arduino without using the Arduino IDE.

Drones and photogrammetry have become indispensable tools for high-precision infrastructure supervision. By combining advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can enhance their insights, accuracy, and productivity in construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals who aim to implement advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, in complex infrastructure projects.

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

• Apply advanced photogrammetric methods such as RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrains and infrastructure geometries.
• Analyze photogrammetry data using GIS software to monitor structural health, deformation, and compliance.

Format of the Course

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on practice with drone data and modeling tools.

Course Customization Options

• To request a customized training session, please contact us to arrange.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for engineers and developers who wish to design, develop, and test aerial vehicles by exploring various concepts and tools in aerial robotics.

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

• Understand the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn the basics of flight control and motion planning.
• Learn how to use different simulation tools for aerial robotics.

In this instructor-led, live training in Uzbekistan, participants will learn how to program Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course focuses on using real hardware components in a live lab environment (not software-simulated hardware).

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

• Program Arduino to manage lights, motors, and other devices.
• Understand Arduino's architecture, including its inputs and connectors for add-on devices.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities.
• Explore various programming language options, from C to drag-and-drop languages.
• Test, debug, and deploy Arduino to address real-world challenges.

ArduPilot is a comprehensive open-source autopilot software suite designed for drones, rovers, and various unmanned vehicles. It offers sophisticated capabilities including autonomous navigation, real-time interaction with ground stations, and seamless integration with robotics middleware such as ROS2.

This instructor-led training session, available either online or in person, targets intermediate developers and technical experts looking to design, program, and test unmanned aerial vehicles (UAVs) utilizing the ArduPilot platform.

Upon completing this training, participants will gain the ability to:

• Establish a fully functional development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs to control UAVs.
• Utilize SITL simulation to safely test and debug drone operations.
• Enhance ArduPilot capabilities with ROS2 and connect it to external sensors or tools.
• Create autonomous flight logic and execute complete UAV missions from start to finish.

Course Format

• Engaging lectures and interactive discussions.
• Extensive hands-on exercises and practice sessions.
• Practical implementation within a live-lab environment.

Customization Options

• This program focuses on the open-source ArduPilot autopilot software. For tailored training needs, please reach out to us to arrange a customized session.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for developers aiming to install, configure, and manage AWS RoboMaker to create, simulate, and deploy applications for robots, autonomous vehicles, and devices.

By the end of the training, participants will be proficient in using AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robotic applications.

This instructor-led, live training (available online or onsite) is designed for anyone interested in understanding the basics of UAS and applying drone technology in planning, operations, management, and analysis across various industries.

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

• Acquire foundational knowledge of UAVs and drones.
• Understand drone classifications and their uses to identify suitable UAVs for various needs.
• Assess delivery options and regulatory frameworks for efficient drone operations.
• Recognize the risks and ethical considerations associated with drone technology.
• Explore future applications and potential integrations of UAVs with other technologies.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for beginner to intermediate participants aiming to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Understand the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and create detailed maps and 3D models.
• Use photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to improve construction site safety and efficiency.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for agriculture technicians, researchers, and engineers who aim to utilize aerial robotics to optimize data collection and analysis in agriculture.

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

• Gain a comprehensive understanding of drone technology and its regulatory framework.
• Deploy drones to collect, process, and analyze crop data to enhance farming and agricultural methods.

The Evo Max 4T is a professional-grade drone designed for advanced aerial operations, inspections, and data collection.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level operators who wish to safely and effectively use the Evo Max 4T for professional applications and prepare for official certification.

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

• Understand the technical specifications and operation of the Evo Max 4T drone.
• Apply operational safety procedures in aerial activities.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Course Format

• Interactive lectures and discussions.
• Hands-on practice using drone equipment and simulators.
• Practical exercises and real-world flight scenarios.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

In this instructor-led, live training in Uzbekistan, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.

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

• Understand the principles of IoT, including IoT components and communication techniques.
• Learn how to use Arduino communication modules suitable for different IoT systems.
• Learn how to use and program a mobile app to control Arduino.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to help developers build, test, and deploy robotic applications efficiently. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker for reproducibility and scalability. The course emphasises agility, version control, and collaborative practices suitable for early-stage development and innovation teams.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to accelerate robotics development workflows using ROS 2 and Docker.

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

• Set up a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Use simulation tools to validate system behaviour before hardware deployment.
• Collaborate effectively using containerised robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Hands-on exercises with ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

In this instructor-led, live training in Uzbekistan, participants will learn how to utilize ROS for their robotics projects by employing various robotics visualization and simulation tools.

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

• Grasp the fundamental concepts of ROS.
• Develop a basic robotics project using ROS.
• Utilize various tools for robotics, including simulation and visualization tools.

This instructor-led, live training (online or onsite) is tailored for beginner to intermediate, and potentially advanced-level robotics developers who wish to learn how to program mobile robots using ROS and Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Leverage ROS packages and libraries to perform common mobile robot tasks.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications effectively.