Drone navigation
Workload class: vision–language-driven autonomous flight.
Operators issue text missions; miners compete on navigation and execution policies; validators score whether the run matches the task instruction (safety, task match, geospatial correctness). Proof-of-Physical-Work (PoPW) binds the instruction hash, policy trace, and hardware-attested sensor data.
Testnet
The public dashboard URL for this workload will be announced with the testnet release.
Task shape (illustrative)
Users typically send natural-language instructions such as: "Fly to the red-brick building and photograph the roof." The exact schema (fees, rewards, attachments) is defined by the live subnet UI and chain integration.
Why this matters
Aerial data often underwrites insurance, maintenance, and engineering decisions. A self-reported log from the same party that operated the aircraft is not a substitute for independently scored evidence tied to a signed, onchain instruction.
See also
OpenFly & OpenFly-Agent — aerial VLN / language-driven flight
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