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 achieve deeper insights, greater accuracy, and increased productivity in construction environments.

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

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

• Apply 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, deformation, 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 customized training for this course, please contact us to arrange.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain insights into the basics of flight control and motion planning.
• Utilize various simulation tools for aerial robotics.

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

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

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

• Establish a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for effective UAV control.
• Utilize SITL simulation to safely test and debug drone behavior.
• Extend ArduPilot 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.
• Numerous exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• This training is centered on the open-source ArduPilot autopilot software. To request a customized version of this course, please contact us to make arrangements.

This instructor-led live training in Brazil (available online or onsite) is designed for developers who wish to install, configure, and manage AWS RoboMaker to create, simulate, and deploy applications for robots, 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 robotic applications.

This instructor-led, live training guides participants through the process of building a robot using 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 concepts underlying robotic technologies
• Integrating motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Hobbyists

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:
• 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 customizations to this training, please contact us to make arrangements.

This instructor-led, live training in Brazil (online or onsite) is designed for individuals who wish to understand the fundamentals of UAS and apply drone technology to planning, operations, management, and analysis across 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 Brazil (online or onsite) is designed for beginner to intermediate-level participants who wish to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Grasp the fundamentals of drones and photogrammetry.
• Create and execute drone flight plans tailored to construction sites.
• Conduct photogrammetry tracking to produce detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and issue detection.
• Utilize drone technology to enhance safety and efficiency on construction sites.

This instructor-led, live training in Brazil (online or onsite) is designed for agriculture technicians, researchers, and engineers who wish to apply 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 relevant regulations governing its use.
• Deploy drones to acquire, process, and analyze crop data to improve farming practices and agricultural methods.

The Evo Max 4T is a professional-grade unmanned aerial vehicle engineered for sophisticated flight missions, detailed inspections, and comprehensive data gathering.

Offered as an instructor-led live session—available either online or on-site—this program targets beginner to intermediate pilots who want to leverage the Evo Max 4T safely and effectively for professional use while preparing for official certification exams.

Upon completing this training, participants will be equipped to:

• Grasp the technical specifications and operational mechanics of the Evo Max 4T.
• Execute rigorous safety protocols during aerial tasks.
• Adhere to current AAC guidelines and local drone regulations.
• Adopt industry best practices for secure and efficient drone management.
• Ready themselves for certification and licensing through a blend of theoretical study and practical drills.

Course Format

• Engaging lectures paired with interactive discussions.
• Direct hands-on experience with drone hardware and simulation software.
• Practical assignments and realistic flight scenarios.

Customization Options

• For tailored training sessions, please reach out to us to discuss your specific needs.

This instructor-led, live training in Brazil (online or on-site) is designed for intermediate to advanced-level engineers and technicians who aim to learn how to program, operate, and optimize Fanuc and Epson robotic systems for industrial applications.

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

• Comprehend 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 to enhance efficiency.

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

This training course, led by an instructor and available both online and on-site, targets intermediate-level technical professionals seeking to safely and effectively operate and maneuver the FIFISH V6 Expert during underwater inspections.

Upon completing this course, participants will acquire the skills to:

• Configure, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open water and confined underwater settings.
• Perform submerged structural inspections utilizing onboard sensors and tools.
• Capture, manage, and analyze underwater video footage and data.

Course Format

• Instructor-led demonstrations and practical briefings.
• Practical exercises conducted using real equipment or simulator environments.
• Field operation practice through supervised piloting scenarios.

Customization Options

• The training content can be tailored to meet specific inspection environments, mission profiles, or operator competency requirements.

This course presents machine learning techniques applied to robotics.

It provides a comprehensive overview of current methods, their motivations, and core concepts within the realm of pattern recognition.

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

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a practical course aimed at helping developers build, test, and deploy robotic applications with efficiency. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The course highlights agility, version control, and collaboration practices that are ideal for early-stage development and innovation teams.

This instructor-led live training (available online or onsite) targets beginner to intermediate participants who want to accelerate their 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 behavior before hardware deployment.
• Collaborate effectively using containerized robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Format of the Course

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

Course Customization Options

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

During this instructor-led live training in Brazil, participants will learn how to start using ROS for their robotics projects through the use 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 Brazil (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.
• Troubleshooting and debugging ROS applications.