Introduction to Robotics for Kids Training Course

Drones and photogrammetry are now essential tools in high-precision infrastructure supervision. With the integration of advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve deeper insight, accuracy, and productivity in construction environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level 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 with GIS software for structural health, deformation, and compliance tracking.

Format of the Course

• Interactive lecture and discussion.
• 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 Hong Kong (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through 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 for drones, rovers, and other unmanned vehicles. It provides advanced features such as autonomous navigation, real-time communication with ground stations, and integration with robotics middleware like ROS2.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and technical professionals who wish to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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

• Set up a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for UAV control.
• Use SITL simulation to test and debug drone behavior safely.
• Extend ArduPilot with ROS2 and integrate with external tools or sensors.
• Develop autonomous flight logic and run end-to-end UAV missions.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

This instructor-led, live training in Hong Kong (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 Hong Kong (online or onsite) is aimed at beginner-level to intermediate-level 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 Hong Kong (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

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

• Understand drone technology and regulations related to it.
• Deploy drones to acquire, process, and analyze crop data to improve 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.

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.

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 explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python

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 emphasizes agility, version control, and collaboration 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 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.

This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises.

In this instructor-led, live training in Hong Kong, 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.

ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics.

In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial.

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

• Install and configure ROS-Industrial
• Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes
• Create simple ROS-I applications
• Build, test, deploy, and troubleshoot a new robot with ROS-I

Audience

• Programmers
• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led, live training in Hong Kong (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.