RoboFacetRoboFacet

Heavy-load outdoor omnidirectional research platform

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
Robot Development
Maturityi
Not specified
Deploymenti
Physical hardware
Buying / access
Contact the vendor for pricing
Source
Official websiteChecked Oct 10, 2026

Key specifications

Sources are linked in the table. Select a specification for its meaning and buying context.

Battery runtime

Up to 10 h

Manufacturer maximum; operating load and auxiliary equipment affect runtime.

Battery configuration

3 × 48 V / 45 Ah; interchangeable

Navigation

3D localisation / RTK-DGPS

Official product pageSource accessed Oct 10, 2026

Specifications are compiled from the linked manufacturer-published sources and may vary by model, configuration or region. Confirm the latest manufacturer documentation before purchase.

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Simulation, control, perception and repeatable experiments
  • Teams that can manage dependencies and hardware interfaces
  • Prototyping before committing to a physical deployment
What to check
  • Supported hardware, GPU requirements and version compatibility
  • Documentation, examples and community response
  • How simulation results transfer to the real robot
Not a magic solution
  • A guarantee that simulation equals a production cell
  • A replacement for safety validation on hardware
  • A low-maintenance toolchain without version ownership

About

RB-FIQUS is a modular outdoor-capable omnidirectional platform for agriculture, inspection and heavy-load integrations. It lists up to 1,000 kg base load, interchangeable batteries and a ROS 2 controller. Robotic arms are integrations, not included in the quoted base payload.

Scenes

Product details

Manufacturer / team
Robotnik
Product typei
Platform
ROS / ROS 2 supporti

The cost iceberg

The purchase price is only one part of an automation project.

GPU, simulation assets and hardware adapters
Dependencies, datasets and test infrastructure
Version pinning, documentation and support
Sim-to-real gaps and safety validation

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