Fourier Intelligence GR-1vsUnitree Robotics H1
Side-by-side comparison of Fourier Intelligence GR-1 and Unitree Robotics H1: specs, price, use cases and SDKs.

GR-1
Open-platform humanoid for research + light industrial pilots

H1
Sub-$100K Chinese humanoid — fastest walker in class
Specifications
| Spec | GR-1 | H1 |
|---|---|---|
| Price (USD) | $150,000 | $90,000 |
| Category | humanoid | humanoid |
| Payload | 50 kg | 30 kg |
| Runtime | 2 h | 2 h |
| Speed | 1.4 m/s | 3.3 m/s |
| Weight | 55 kg | 47 kg |
| Degrees of Freedom | 40 | 19 |
| Battery | Li-ion swap | — |
- University research
- Light manufacturing pilots
- Rehabilitation R&D
- Robotic hand teleoperation studies
- Humanoid robotics research
- Industrial R&D
- Content creation / film
- Robotics competitions
When to pick which
Choose the Fourier Intelligence GR-1 for university research labs and medical rehabilitation facilities requiring high-dexterity manipulation. With 40 degrees of freedom—more than double its competitor—the GR-1 is the superior choice for teleoperation studies and fine motor skill development. Industrial pilot programs needing to move heavy components should leverage its 50kg payload capacity, which significantly outperforms the H1. The swappable Li-ion battery system is a critical feature for continuous, multi-shift testing environments where downtime for charging is a major operational constraint. Its specialized SDK stack further supports advanced AI-driven research.
Select the Unitree Robotics H1 for robotics competitions or media production firms where budget and dynamic mobility are the primary constraints. At $90,000, it offers a more accessible entry point for startups or content creators needing a full-sized humanoid. Its 3.3 m/s walking speed—the fastest in its class—makes it the ideal platform for researchers studying high-speed locomotion or dynamic balance. While it has fewer degrees of freedom, its lightweight 47kg frame and open-source SDK provide a streamlined, cost-effective foundation for industrial R&D projects focused on navigation rather than complex manipulation.
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