Payload
20 kg
Modular indoor robot for navigation and manipulation research
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.
| Specification | Value |
|---|---|
| Payload | 20 kg |
| Travel speed | 1.3 m/s |
| Programming interfaces | ROS 2 Jazzy |
| Obstacle clearance | 16 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
Dingo is an indoor education and research base with differential and omnidirectional variants, 20 kg maximum payload, 1.3 m/s speed and ROS 2 Jazzy. Its modular bays and mounting points accommodate computing, sensors and manipulation packages selected for the experiment.
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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