# dronomy.io

- **Event:** [Nebius.Build SF](https://cerebralvalley.ai/e/nebius-build-sf)
- **When:** Sun, Mar 15 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Suvasis Mukherjee](https://cerebralvalley.ai/u/suvasis)
- **GitHub:** https://github.com/dronomyio/Hackathon_Autonomous_flight.git
- **Demo video:** https://youtu.be/1xOhTZCjtds
- **Gallery:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/11

Autonomous Flight is a dockerized autonomous drone simulator implementing a full robotics stack: 24-ray LiDAR SLAM, Extended Kalman Filter state estimation, A* global planning with obstacle inflation, Dynamic Window Approach local planning, and an 8-state flight FSM with guarded transitions. The differentiator is a dual-mode RL correction agent — switch between a simulated Q-learning policy and a live LLM policy backed by Nebius token factory (Llama 3.1 8B on H100s) with one button toggle. In LLM mode, the model receives a structured prompt encoding drone position, velocity, path deviation, nearest obstacle, EKF covariance and FSM state, then returns a JSON thrust vector at ~700ms latency via async background thread. FastAPI backend streams full simulation state over WebSocket at 30fps to a React/Vite UI. Two Docker containers, zero setup.

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Markdown version of https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/11. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt