Show HN: Open-Source AI Racing Harness
Elodin has released an open-source practice rig for the AI Grand Prix, an autonomous drone-race competition. This rig allows contestants to begin developing autopilot code ahead of the official simulator's release. The setup is designed to streamline the simulation process, making it more accessible for teams involved in drone and aerospace technology.
- ▪The practice rig is open-source and compatible with macOS and Linux.
- ▪Elodin aims to improve simulation tools for aerospace by providing a more user-friendly experience.
- ▪The rig integrates physics, motor dynamics, and sensor data to create a realistic training environment for drone racing.
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Innovation & DiscoveryElodin / AI Grand Prix race sim harnessWritten byDaniel DriscollOverviewToday we're open-sourcing a practice rig for Anduril's AI Grand Prix (a $500K autonomous drone-race competition) so contestants and anyone else curious can start writing autopilot code against a working stack now, before the official Virtual Qualifier 1 simulator drops: github.com/elodin-sys/ai-grand-prix. It's open source, runs on macOS and Linux, and the whole setup is uv sync plus a 5-minute Betaflight build. (WSL should be workable too)The Elodin JourneyThe path here was longer than we expected. I came into this from the games side.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Elodin.
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