An experimental UAV you command in plain (natural) language; a language model (Gemma 3) interprets the commands and turns them into autonomous flight.
Tech stack
Atmaca is my LLM-powered autonomous-flight project where you control a UAV with plain English/Turkish commands. Everyday instructions like "take off and go north" or "climb 10 meters" are interpreted by a language model (Gemma 3) acting as the drone's brain and turned into flight.
The system splits into a "brain" and a "body". The brain is a Gemma 3 model running on Ollama; it converts the user's text command into a structured JSON decision (e.g. "takeoff 10 m"). The body runs on Python + DroneKit; it receives the JSON over HTTP, translates it into MAVLink commands for the UAV (SITL or real) and feeds telemetry back.
The result is a working demo and an autonomous-flight test video (v3.5). I published it open-source (MIT) on GitHub — a pioneering R&D effort showing end-to-end natural-language UAV control.
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Parts and what they did
I can adapt an LLM-integrated autonomous control layer that turns natural-language commands into flight, for your scenario.
Tell the assistant what you need — we will talk through whether I can build something like this, the approach and the free first step right away, and it books a time that suits you.
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