Robotics Training in Évora

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a practical course designed to assist developers in efficiently building, testing, and deploying robotic applications. Participants will learn to containerise robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The course places emphasis on agility, version control, and collaboration practices that are well-suited for early-stage development and innovation teams.

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

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

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

Course Format

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

Course Customisation Options

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

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

This instructor-led live training (available online or onsite) targets intermediate-level technical personnel who aim to operate and manoeuvre the FIFISH V6 Expert safely and efficiently during underwater inspections.

Upon completing this training, learners will acquire the ability to:

• Configure, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open water and confined underwater environments.
• Execute submerged structural inspection tasks utilizing onboard sensors and tools.
• Capture, manage, and analyse underwater video and data.

Course Format

• Demonstrations guided by the instructor, accompanied by practical briefings.
• Hands-on exercises using either real equipment or simulator environments.
• Field operation practice through supervised piloting scenarios.

Customization Options

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

This instructor-led, live training in Évora (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks.

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

• Understand how robotics is applied in welding.
• Develop proficiency in programming the ABB IRB 2600ID robot for various welding tasks.
• Learn to safely and effectively operate the ABB IRB 2600ID robot.
• Understand the safety standards and procedures relevant to robotic welding operations.

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.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with drone equipment and simulators.
• Practical exercises and real flight scenarios.

Course Customization Options

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

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, enhanced accuracy, and improved productivity in construction environments.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to apply sophisticated drone and photogrammetry workflows—including 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 to monitor structural health, deformation, and compliance.

Course Format

• 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, available Évora (online or onsite), is tailored for electrical engineers and enthusiasts aiming to deepen their knowledge of semiconductors.

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

• Comprehend the principles behind energy and conduction band diagrams.
• Grasp the internal structure and operational mechanisms of diodes.
• Gain a thorough understanding of both intrinsic and extrinsic semiconductors.

This instructor-led live training in Évora (online or onsite) is designed for beginner to intermediate participants who wish 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 Évora (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.

This instructor-led live training in Évora (online or onsite) is designed for electrical engineers and anyone interested in learning the fundamentals of semiconductors to drive innovation across various industries.

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

• Understand the operation of electronic devices such as diodes and transistors.
• Analyze carrier statistics within semiconductors.
• Comprehend carrier dynamics in semiconductors and their resulting conduction properties.

This instructor-led, live training in Évora (online or onsite) is aimed at 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 other unmanned vehicles. It offers advanced capabilities such as autonomous navigation, real-time communication with ground stations, and integration with robotics middleware like ROS2.

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

Upon completing this training, participants will be able to:

• Establish a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for UAV control.
• Utilise SITL simulation to safely test and debug drone behaviour.
• 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 practical practice.
• Hands-on implementation within a live-lab environment.

Customisation Options

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

This instructor-led, live training in Évora (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 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 underpinning robotic technologies
• Integrating motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Note

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

This instructor-led, live training in Évora (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 Évora (online or onsite) is designed for agricultural technicians, researchers, and engineers who wish to apply aerial robotics to optimise data collection and analysis for agriculture.

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 analyse crop data to enhance farming and agricultural methods.

This course introduces machine learning methods in robotics applications.

It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.

After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.

This classroom-based training session will delve into NLP techniques alongside the application of AI and Robotics in business. Delegates will undertake computer-based examples and case study solving exercises using Python

This instructor-led training session delves into the realms of Robotics and Robotic Process Automation (RPA). Participants will engage with computer-based examples and solve case study exercises.

In this instructor-led live training held in Évora, participants will learn how to initiate the use of ROS for their robotics projects through robotics visualization and simulation tools.

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

• Understand the fundamentals of ROS.
• Learn how to build a basic robotics project using ROS.
• Learn how to utilize different robotics tools, including simulation and visualization software.

ROS-Industrial (ROS-I) is an open-source initiative that extends the Robot Operating System (ROS) to enhance manufacturing automation and robotics capabilities.

Through this instructor-led live training, attendees will learn how to begin developing with ROS-Industrial.

Upon completion, participants will be equipped to:

• Install and configure ROS-Industrial
• Execute motion and path planning on ROS-I using tools like MoveIt! and Descartes
• Develop straightforward ROS-I applications
• Build, test, deploy, and troubleshoot new robots using ROS-I

Audience

• Programmers
• Developers
• Engineers

Course Format

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

Note

• For customized training requests, please contact us to arrange.

This instructor-led, live training in Évora (online or onsite) is designed for technical professionals looking to establish or expand an RPA system with advanced intelligent functionalities.

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

• Installing and configuring UiPath IPA.
• Enabling robots to oversee and manage other robots.
• Utilising computer vision to accurately identify objects on screen.
• Equipping robots to detect language patterns and perform sentiment analysis on unstructured data.