A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice.
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A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice.
Uses range sectors, obstacle heights and target state to choose maneuvers and assess risk or target loss.
Separates tactical judgments from local guidance, reflexes and flight control.
The 2.5/50/500 Hz figures describe the author’s simulation architecture. They are not a flight-safety guarantee or validation on a real aircraft. README and integration source reviewed at a fixed commit; not independently run or benchmarked by this site.
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: RomanSlack/jev-drone — 145 stars, MIT. Listed by Awesome Jev.
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