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RVPU · ground robotics · Kria KV260

TerraBot X

TerraBot X is an RVPU: a set of perception functions you wire cameras into and get useful outputs from. Choose your own cameras, baseline, and field of view, connect them through the hardware interface, and get dense 3D, tracked objects, and cross-modality matches back. No vendor-locked stereo kit, no compiler toolchain to learn, no EdgeAI team to hire.

TerraBot X — RVPU on an AMD Kria system-on-moduleTop-down illustration of the TerraBot X RVPU vision appliance on an AMD Kria system-on-modulePIPELINELIBRARYRVPUVISIONINVOTETROS 2TRACE 8192CAMERAINMIPI CSI-2ROS 23D · TRACKSOUTAMD KRIA SOM
RVPU · ground robotics · Kria KV260

TerraBot X

Your cameras · dense 3D, detect & track · ROS 2 native · on-platform

AMD Kria KV260RVPU host
ROS 2 · 3D + tracksPerception out
Your rigUSB / CSI / MIPI / LVDS
Self-calibratingDrift-compensating
8,192Trace buffer entries
No model codeApp config, not AI
Design partner program

Pre-compiled vision pipelines · in-mission bitstream switching · 8,192-entry cycle-accurate hardware trace buffer

Headline figures

  • Platform

    AMD Kria KV260

  • Perception

    Dense 3D · detect · track

  • Cameras

    Yours — any geometry

  • Operating range

    −40 to +85

    °C target

Specifications

Everything that matters before integration.

Environmental figures are targets on the roadmap, not achieved qualifications — qualification testing is planned, and reports go to design partners under NDA as they complete. Request the current documentation and we will route it the same day.

Dense 3D
Stereo / multi-view depth from your geometry
Calibration
Automatic self-calibration, drift-compensating
Detection
Object detection + segmentation
Mapping
3D mapping + temporal tracking
Cross-modality
Thermal–RGB matching + follow-on inference

Documentation

Request the datasheet.

Current TerraBot X datasheet and pipeline documentation, plus qualification and export documentation shared with design partners under NDA as it becomes available.

Sales

Talk to the team.

Tell us your platform, the workload, and the integration target. We will scope sample units and the right SDK provisioning.