RoboFacetRoboFacet

Compact field-research UGV with ROS 2

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.

Payload

20 kg

Maximum payload; no all-terrain load equivalence assumed.

Robot body weight

17 kg

External dimensions

508 × 430 × 250 mm

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

Jackal is a compact field-research base with integrated computer, GPS and IMU. The current product page lists 17 kg body weight, 20 kg maximum payload, 2 m/s speed and four-hour basic-use runtime. ROS 2 Jazzy is listed; older ROS 1 documentation and historical runtime figures are not substituted for this current page.

Product details

Manufacturer / team
Clearpath Robotics
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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