ABB IRB 2600ID Robot Operation and Programming Training Course

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

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced professionals looking to apply sophisticated drone and photogrammetry workflows—such as geodetic controls and high-precision mapping techniques—to complex infrastructure projects.

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

• Implement advanced photogrammetric methods, including 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 terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software for structural health assessment, deformation monitoring, and compliance tracking.

Format of the Course

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

Course Customization Options

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

This instructor-led live training in the UAE (online or onsite) targets engineers and developers who wish to design, develop, and test aerial vehicles by exploring various aerial robotics concepts and tools.

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

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

ArduPilot is an open-source autopilot software suite designed for drones, rovers, and various other unmanned vehicles. It delivers advanced capabilities, including autonomous navigation, real-time communication with ground stations, and seamless integration with robotics middleware such as ROS2.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level developers and technical professionals aiming to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

Upon completing this training, participants will be able to:

• Establish a comprehensive development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs to control UAVs.
• Utilize SITL simulation to safely test and debug drone behavior.
• Extend ArduPilot functionality with ROS2 and integrate it with external tools or sensors.
• Develop autonomous flight logic and execute end-to-end UAV missions.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• This training is based on the open-source autopilot software, ArduPilot. To request customized training for this course, please contact us to arrange.

This instructor-led live training in the UAE (available online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

This instructor-led live training equips participants with the skills to build a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

Upon completion of this training, participants will be capable of:

• Constructing and operating a robotic system that integrates both software and hardware elements
• Grasping the fundamental principles underlying robotic technologies
• Integrating motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Enthusiasts

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Important Note

• The instructor will specify the hardware kits required prior to the training. These kits will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle chassis kit
• Participants are responsible for purchasing their own hardware.
• For customized training options, please contact us to make arrangements.

This instructor-led live training in the UAE (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.

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

• Gain fundamental knowledge of UAVs and drones.
• Learn about drone classifications and uses to find suitable UAVs that address different needs.
• Evaluate delivery options and regulations for the convenient operation of drones.
• Understand the risks and ethics of using drone technology.
• Explore future uses and capabilities of UAVs including integration with other technologies.

This instructor-led, live training in the UAE (online or onsite) is tailored for beginner to intermediate participants who wish to learn how to apply 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 the UAE (online or onsite) targets agriculture technicians, researchers, and engineers who wish to leverage aerial robotics to optimize data collection and analysis for agricultural purposes.

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

• Understand drone technology and the regulations surrounding it.
• Deploy drones to acquire, process, and analyze crop data to enhance farming and agricultural methods.

The Evo Max 4T is an advanced, professional-grade unmanned aerial vehicle (UAV) engineered for complex aerial missions, detailed inspections, and comprehensive data acquisition.

This instructor-led training program, available online or on-site, is tailored for operators at the beginner to intermediate levels who aim to utilize the Evo Max 4T safely and efficiently for professional purposes while preparing for official certification.

Upon completing this training, participants will be equipped to:

• Comprehend the technical specifications and operational mechanics of the Evo Max 4T.
• Execute rigorous safety protocols during aerial activities.
• Adhere to current Civil Aviation Authority (AAC) and regional drone regulations.
• Apply industry best practices for secure and efficient UAV operations.
• Prepare for official certification and licensing through a blend of theoretical knowledge and practical application.

Course Delivery Format

• Engaging lectures coupled with interactive discussions.
• Experiential learning with drone hardware and flight simulators.
• Real-world flight scenarios and practical exercises.

Customization Availability

• For inquiries regarding customized training arrangements for this course, please reach out to us.

This instructor-led, live training in the UAE (online or onsite) is designed for intermediate to advanced engineers and technicians who want to master the programming, operation, and optimization of Fanuc and Epson robotic systems for industrial applications.

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

• Grasp the architecture and functionalities of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimize robotic workflows for improved efficiency.

The FIFISH V6 Expert is a high-end, remotely operated underwater vehicle engineered for inspection, exploration, and the assessment of submerged structures.

This instructor-led training session, available both online and onsite, targets intermediate technical personnel aiming to master the safe and effective operation and navigation of the FIFISH V6 Expert during underwater inspections.

Upon completion of this program, participants will be equipped with the skills to:

• Set up, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open waters and confined underwater spaces.
• Perform submerged structural inspections utilizing integrated sensors and tools.
• Capture, manage, and analyze underwater video footage and data.

Course Delivery Format

• Demonstrations and practical briefings guided by an instructor.
• Practical exercises conducted using actual equipment or simulation environments.
• Field operation practice involving supervised piloting scenarios.

Customization Options

• Training modules can be tailored to specific inspection environments, mission profiles, or operator competency levels.

This course provides an introduction to machine learning methods applied within robotics.

It offers a comprehensive overview of current methodologies, their motivations, and core concepts, specifically situated within the context of pattern recognition.

Following a brief theoretical foundation, participants will engage in practical exercises utilizing open-source tools, typically R, or other widely used software platforms.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to assist developers in building, testing, and deploying robotic applications with efficiency. Participants will acquire the skills to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum places strong emphasis on agility, version control, and collaborative practices tailored for early-stage development and innovation teams.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level participants looking to accelerate their robotics development workflows through the use of ROS 2 and Docker.

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

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes within modular, reproducible setups.
• Utilize simulation tools to validate system behavior prior to hardware deployment.
• Collaborate effectively via containerized robotics projects.
• Implement continuous integration and deployment concepts within robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises involving ROS 2 and Docker environments.
• Mini-projects centered on real-world robotic applications.

Course Customization Options

• To request customized training for this course, please get in touch with us to arrange.

In this instructor-led live training in the UAE, participants will learn how to begin utilizing ROS for their robotics projects through the application of robotics visualization and simulation tools.

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

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using 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.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications.