Agility Robotics DigitvsFourier Intelligence GR-1
Side-by-side comparison of Agility Robotics Digit and Fourier Intelligence GR-1: specs, price, use cases and SDKs.

Digit
Warehouse bipedal humanoid

GR-1
Open-platform humanoid for research + light industrial pilots
Specifications
| Spec | Digit | GR-1 |
|---|---|---|
| Price (USD) | $250,000 | $150,000 |
| Category | humanoid | humanoid |
| Payload | 16 kg | 50 kg |
| Runtime | 4 h | 2 h |
| Speed | — | 1.4 m/s |
| Weight | 65 kg | 55 kg |
| Degrees of Freedom | — | 40 |
| Battery | — | Li-ion swap |
- Logistics
- Warehousing
- Tote handling
- University research
- Light manufacturing pilots
- Rehabilitation R&D
- Robotic hand teleoperation studies
When to pick which
Choose the Agility Robotics Digit v4 for large-scale logistics and commercial warehouse deployments where operational uptime and fleet management are paramount. At $250,000, it is a production-ready investment for 24/7 facilities requiring continuous tote handling or truck unloading. Its four-hour runtime and hot-swappable LiPo battery system allow for minimal downtime during multi-shift operations compared to shorter-duration alternatives. Logistics managers should prioritize Digit for its Agility Arc cloud platform, which facilitates multi-robot orchestration in brownfield sites. While it has a lower payload of 16kg, its specialized bipedal stability is optimized for the repetitive, high-cadence movement required in industrial sorting and conveyor-fed workflows.
Select the Fourier Intelligence GR-1 for university laboratories, rehabilitation R&D, or light industrial pilots where high dexterity and payload capacity outweigh long-duration autonomy. Priced $100,000 lower than Digit, it is the more accessible entry point for research institutions exploring human-robot interaction or teleoperation. With 40 degrees of freedom—double that of the Digit—the GR-1 offers superior articulation for complex manipulation tasks and robotic hand studies. Despite the shorter two-hour runtime, its 50kg payload capacity makes it a versatile testbed for heavy-lift experimentation or developing advanced control algorithms using the Fourier OpenAI Stack and Python SDK in controlled research environments.
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