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13:25, 19 December 2025
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Russia Tests Driverless Electric Truck in Long-Distance Cargo Trial

The vehicle covered a long distance with cargo while operating in autonomous mode.

Credit to: Moscow Institute of Physics and Technology press service

Researchers from the Moscow Institute of Physics and Technology and the Moscow Automobile and Road Construction State Technical University conducted trials of an autonomous electric cargo truck based on the GAZelle e-NN platform.

The navigation system developed for the project enabled the truck to travel a significant distance autonomously while carrying a load, confirming its technical characteristics and securing a win in the Level Five competition. The milestone marks an important stage in the development of domestic transport technologies designed to compete in future mobility systems.

A Full-Fledged Research Platform

Engineers built more than a test prototype. They created a full-scale research platform by upgrading the electric vehicle’s design, adding electric power steering, a traction motor control unit with energy recovery, and brake control modules. All components were integrated into a single electronic system that enables driverless operation. The system continuously processes data from lidars, cameras, and high-precision satellite navigation to generate an accurate digital model of the surrounding environment.

“For us, the autonomous GAZelle is a complete research platform,” said Alexander Panov, head of the Cognitive Modeling Center at the university’s Institute of AI. “It is used to test neural network-based computer vision, decision-making, and motion planning algorithms that can later be applied in other robotic systems.”

A key feature of the platform is the independence and reliability of its core functions. The system can accurately determine the vehicle’s position and build maps even during temporary loss of satellite signals.

Continuous Data Analysis

The technology was demonstrated during final trials conducted at the Alabuga special economic zone. The truck autonomously covered up to 120 kilometers, delivered a 625-kilogram load, and maintained an average speed of more than 17 km/h, including maneuvers into terminal areas.

“Our system is built around continuous data analysis,” explained Dmitry Yudin, head of the university’s Intelligent Transport Laboratory. “This makes it possible to build an accurate digital model of the environment in real time, detect obstacles, predict trajectories, and adjust routes, which is the foundation of autonomous driving.”

The development is primarily aimed at logistics on closed sites such as industrial facilities, warehouses, and distribution centers, where such systems can already be deployed.

The experience gained lays the groundwork for future commercial products in autonomous logistics and reduces reliance on foreign technologies. The project highlights Russia’s potential in the digital transformation of transport and in building intelligent systems capable of operating in challenging climate and infrastructure conditions.

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Russia Tests Driverless Electric Truck in Long-Distance Cargo Trial | IT Russia