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Robot teams that map and localize where GNSS is denied.

Two rovers driving on Moon-like sand inside a dark analogue hall, lit by their own headlights

RMAP — our Resilient Multi-Agent Autonomy Platform — is an SDK and operator dashboard that keeps a fleet of robots on one shared map in GNSS-denied environments.

No base station. No leader.

Each robot runs its own SLAM; teammates exchange data through synchronized layers anchored to the shared pose graph.

Taara Robotics is supported by ESA BIC Estonia and Tehnopol

Who we are looking for

  • Early adopters

    Running robots in GNSS-denied environments? Trial RMAP with us and help shape what it becomes.

    Trial RMAP
  • Sensor manufacturers

    Test your cameras, IMUs, LiDAR, or ranging hardware on a live multi-robot SLAM stack.

    Test your hardware
  • UGV developers

    Integrate decentralized multi-agent autonomy into your UGVs — instead of building a SLAM and fleet-coordination stack in-house.

    Integrate RMAP

RMAP in 60 seconds

Five rovers, one shared map, no base station.

What your team gets

The shared map frame is the foundation. On top of it, RMAP keeps the mission state in one place.

  • Tagged finds

    Mark a point of interest — a sample, a hazard, a landing spot — and it persists as a landmark in a layer shared across every rover’s map.

  • Your own layers

    Bring your own data layers — temperature, ground strength, radiometrics — synchronized across the fleet and anchored to poses in the shared pose graph.

  • No central dispatcher

    Fully peer-to-peer task allocation: any rover posts a task, the best-positioned rover claims it, and the fleet observes the outcome.

  • Your hardware or ours

    Deploy RMAP on your existing fleet, or pair the SDK with our hardware kit.

Real-time 3D mapping for Earth and beyond

  • A rover with treaded wheels driving over sandy analogue terrain

    Autonomy

    Our decentralized stack lets each robot navigate and map GNSS-denied environments on its own, adapting to unknown terrain in near real time.

  • Two rovers driving together across a sandy analogue test ground

    Collaboration

    Robots run their own SLAM and stay aligned through synchronized data layers, optimized against a shared pose graph.

  • An operator at a monitor showing a live 3D map, with a rover on the sand behind

    Precision

    High-accuracy localization — each robot’s pose is refined continuously through pose-graph optimization.

Partners