by RomanSlack · AI Tool · ★ 277
jev-drone An autonomous quadrotor flies a five-station obstacle course in MuJoCo using only its onboard camera. A small judgment model (TypeSafe's Jev) sits at 2.5 Hz and decides what the situation means; everything time-critical stays in ordinary code. The drone is the Skydio X2 from MuJoCo Menagerie a real airframe with four rotors, flown by a geometric controller. Nothing about the flight is scripted. The idea Jev is not a vision model. It takes JSON and returns typed answers with probabilities. So it cannot be the perception layer, and it cannot run at control rate.
| Stars | 277 |
| Forks | 40 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 61.8607880596733/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-24 |
| Created | 2026-09-16 |
| Platforms | python |
| Est. Tokens | ~16k |
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jev-drone is Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz. It is categorized as a AI Tool with 277 GitHub stars.
jev-drone is primarily written in Python. It covers topics such as autonomous-agents, drone, mujoco.
You can find installation instructions and usage details in the jev-drone GitHub repository at github.com/RomanSlack/jev-drone. The project has 277 stars and 40 forks, indicating an active community.
jev-drone is released under the MIT license, making it free to use and modify according to the license terms.