African painted dogs at a waterhole in Hwange, Zimbabwe

NSF Funding Innovation. Four countries. Real species.

Federally funded development — proven tracking wild kiwi, painted dogs, and pine martens, not just in the lab.

New Zealand · North Island brown kiwi

Ponui Island & Auckland

With Victoria University of Wellington and Massey University, UAV-RT achieved its first successful real-world wildlife localization — tracking wild kiwi across Ponui Island's terrain.

20–30 m localization accuracy
Drone pilot overlooking the Hauraki Gulf on Ponui Island, New Zealand
Ponui Island, New Zealand
Drone flying over a golden hillside above the Hauraki Gulf Researcher holding a handheld ground-tracking antenna
A pack of African painted dogs at a waterhole in Hwange, Zimbabwe
Hwange, Zimbabwe
Three African painted dogs, one wearing a visible orange radio collar
Zimbabwe · African painted dogs

Hwange, ongoing since 2023

Working with Painted Dog Conservation, onboard noise engineering pushed detection range from roughly 1.5 km to 6–7 km — about 6x a ground tracker's range.

36x more searchable area per flight
United Kingdom · Pine martens

Cumbria, November 2025

Supporting a pine marten reintroduction with the University of Cumbria, UAV-RT located two tagged martens that the ground survey team could not find.

2 tagged martens, missed by ground team
Pilot flying the UAV-RT drone, antenna cable visible, at a Cumbria woodland edge
Cumbria, UK · photo: Michael Mayhew, University of Cumbria
UAV-RT drone in flight against a clear blue sky, low angle Pilot standing in a frosty Cumbria meadow under a clear sky
Left: Jess Stevens, University of Cumbria
Arizona · Developmental testing

Mormon Lake & Seligman

UAV-RT's home turf: original system development and testing near Flagstaff. We test here in various terrains and conducted early phase trials with Arizona Game & Fish tracking collared black-footed ferrets near Seligman.

UAV-RT drone during developmental testing near Mormon Lake, Arizona
Mormon Lake, Arizona · developmental testing
Coming next

An interactive detection map, built from real flight data

Every deployment above produces per-detection GPS points colored by signal strength. We're building a browser-based tool to turn that into an interactive map — upload a CSV, see the search visually, export a KML. See the placeholder →

Ready to talk about a deployment?

Tell us about your species, your terrain, and your timeline — we'll tell you whether UAV-RT can help.

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