

In the real world, whether on solar farms, airports, or mountain slopes, relying on satellite signals alone is not an option. Tall grass, panel structures, or dense vegetation make conventional navigation methods unreliable. Our solution is therefore built on the fusion of data from several key sources: advanced radar sensors that we develop in-house, SLAM (Simultaneous Localization and Mapping) algorithms, and artificial intelligence. Thanks to SLAM, a machine can create a map of its surroundings in real time while simultaneously determining its precise location within it, all completely independent of GPS.
What does this technological advantage mean in practice? Concrete, measurable results.
We are not stopping here. In collaboration with the Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC CTU), we are working on the next step in this evolution. Our immediate goal is to increase the autonomously managed area to 95%. The target for 2026 is a machine that can map an unfamiliar environment entirely on its own and automatically plan the most efficient workflow. Time-consuming manual mapping will become a thing of the past.
A Platform for Any Machine
Our new control unit is not just an upgrade for the Spider mowers that serve as our primary testing ground. It is a robust, modular, and scalable platform ready for integration into a wide range of specialized machinery—a fact proven by the recent implementation into Swiss Monotrac mountain tractors. We provide the brain that can transform almost any machine into an intelligent and independent robot. A new generation of autonomy is here, and it’s powered by Smaut technology.


