Новосибирские учёные испытали автономный дрон с ИИ для доставки грузов в труднодоступные районы

The system used in the drone does not depend on GPS and analyzes the terrain from the air

Specialists from Novosibirsk State University (NSU) have successfully tested a drone designed for transporting goods to remote regions. The device traveled 4.5 km over the Ob River, delivering medicines to the village of Nizhnekamensky Village Council, where ground communication is interrupted for two weeks in the spring.

The drone was created using 3D-printed housing and a combination of imported electronics with proprietary software. NSU algorithms control the flight, process data from cameras and sensors, and the odometry system analyzes the underlying surface for accurate positioning without complete dependence on GPS. The immediate plans include the integration of neural networks that will improve navigation reliability in weak signal conditions.

The drone is capable of independently plotting a route, performing tasks, and returning to base. No infrastructure is required for operation — take-off and landing are possible on unprepared sites. Currently, the payload is limited to 500 grams, but this is sufficient for transporting medicines or urgent parcels.

Tests in the Ordynsky district confirmed the practical value of the project. Local authorities note that the technology will solve the logistics problem during periods of ice drift and floods. By the summer, scientists plan to release a batch of five drones for test operation in active tourism areas, where vacationers will be able to quickly receive goods without lengthy crossings.

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When arrival is not scary: drone delivery of products is being organized in Russia

Sources
NGU

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