Multi Rotor Research
Autonomous Drone
At Multi-rotor research, we strive to achieve fully autonomous flight through a diverse set of scenarios using a new innovative approach called End-2-End navigation. Instead of the competition that is separating tasks of autonomous flight into separate hand-coded subsystems.
We use one single Artificial Intelligence model which can directly correlate image data to flight controls. As a result, the system is more coherent and flexible in finding solutions in the most complex scenarios.
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This project tackles the challenge of skilled drone pilot availability for inspection tasks by developing an autonomous drone operating system. This system leverages end-to-end artificial intelligence to enable automated drone flight, making automated drone flight accessible for all.
This is powered by a custom AI model, drone management dashboard, 5G connectivity and aerial photography for inspection and mapping.