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by Lucas-Nülle
With the four UAV platforms, trainees learn how a drone is assembled, wired, configured and controlled. They work with real components, test different drone types in simulation and diagnose faults systematically.
Multicopter
Flying Wing
Fixed Wing Classic
Fixed Wing VTOLThe learning system covers not only the electronic control and signal level but also the key flight-mechanical components of different drone types. Motors, rotors, thrust units, wings and tail units are built as independent modules and can be combined and arranged to match the respective flight platform.
This makes it possible to configure and compare the common drone types with their characteristic propulsion, lift and control concepts in a hands-on way. The modular architecture makes differences in design, function and flight behavior immediately understandable and lays the foundation for adding further components, variants and drone concepts in the future.
Theory and simulators alone fall short. The learning system closes the gap in four steps.
On the training wall, trainees build the drone themselves, wire and calibrate it with ArduPilot and diagnose faults right on the system.
In the simulator, with the very drone trainees configured themselves – emergency maneuvers, wind, poor visibility, as often as needed.
A robot arm turns every stick input of the real drone into real motion, synced to a digital map.
RXLea connects directly to the flight controller – learning software and real hardware work together. Assignments guide every step, results are recorded.
Trainees become mission-ready UAV operators – with system know-how, flying routine and tactical overview.See all four modules live.
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Wing & control surface
Tail unit
VTOL motor
Pusher propulsionA drone combines numerous technical components in a very small space. Flight controller, sensors, propulsion and other functional units, depending on the application, are networked via compact plug and solder connections and are only partly accessible in the real system. The aim of the development was therefore to fully understand this technical architecture first and then transfer it into a modular learning system.
The relevant components, wiring and signal chains are reproduced realistically, spatially separated and made accessible as interchangeable function modules. This lets learners understand how the individual systems interact, make and change connections, and practice typical tasks from commissioning, configuration, troubleshooting, maintenance and repair. Highly integrated drone technology thus becomes an editable, expandable learning platform that makes the technical logic of different drone types understandable and directly tangible.
The Lucas-Nülle drone learning system has a flexible design and can cover different learning objectives, application scenarios and qualification levels. Modular function boards, real components and freely combinable learning units make it possible to teach both fundamental system relationships and more complex training content in a practical way.
This allows the platform to be expanded step by step and tailored to different target groups, drone types and fields of application. Applications in public safety, agriculture, the energy sector as well as inspection, surveillance and monitoring determine the selection and configuration of sensors, flight components and technical functions.
Train responders for situational awareness, search and rescue and fire monitoring. Setup, pre-flight checks and troubleshooting become routine before the drone goes into real operations.
Train specialists in inspection, logistics, safety applications and technical operations planning. Setup, simulation and diagnostics can be practiced safely in a controlled learning environment.
Teach the basics of drone technology step by step. Learners work on assembly, sensor technology, control systems and safe commissioning.
Physics dictates: one system cannot simultaneously hover at maximum efficiency and cover maximum distance. Four platform categories — four physical realities.
Pin-point positioning and hover flight at low altitudes — ideal for detailed inspection and situational awareness for security forces.
Superior aerodynamics for high cruise speeds — ideal for large-area mapping and corridor missions.
Weather-resistant platform for long distances — ideal for long-range surveillance and maritime or offshore operations.
Vertical take-off combined with efficient forward flight — ideal for critical infrastructure without dedicated runways.
See all four drone classes live.
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Request a UAV demoThe UAV learning system (Unmanned Aerial Vehicle) is a modular PanelTrain learning system for practical training in unmanned aviation technology. Learners set up UAV systems, configure sensors and actuators, commission flight controllers, perform fault diagnostics, and deepen their skills through realistic work assignments.
The learning system is particularly suitable for:
It supports the development of technical skills related to unmanned aircraft systems.
Yes. RXLea complements the practical work with structured learning paths and digital learning content and supports topics such as diagnostic methods and preparatory theory in particular. Practical work on the training panel remains the central element of the learning process.
The training covers skills including:
Learners work on practical assignments instead of isolated individual exercises. They systematically work through real-world tasks and develop technical skills based on the principles of Real Experience Learning.
Yes. The learning projects build on each other systematically and guide learners step by step from the fundamentals to more complex tasks such as diagnostics, parameterization, and troubleshooting.
The system is suitable for applications in areas including:
The training panel includes components such as:
All components are clearly arranged and accessible for measurements and diagnostic work.
The system supports four different UAV configurations:
This allows participants to learn about different flight concepts within a single learning system.
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