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 advanced manipulation tasks in light manufacturing or medical rehabilitation R&D. With 40 degrees of freedom compared to the H1’s 19, the GR-1 is the superior choice for teleoperation studies requiring human-like dexterity and complex upper-body movement. Its 50kg payload capacity allows for meaningful material handling in pilot industrial environments where the H1’s 30kg limit might fall short. Additionally, the swappable battery system makes it suitable for multi-shift university research labs or industrial facilities that cannot afford downtime for charging, ensuring continuous data collection and testing cycles.
Select the Unitree Robotics H1 for high-speed locomotion research or large-scale robotics competitions where agility and cost-efficiency are paramount. At $90,000, the H1 is significantly more accessible for academic departments looking to deploy multiple units for swarm studies or content creation. Its top speed of 3.3 m/s—more than double that of the GR-1—makes it the ideal platform for testing dynamic balance algorithms and rapid traversal in industrial R&D. While it offers fewer degrees of freedom, its lightweight 47kg frame and open-source SDK provide a streamlined entry point for teams focused on bipedal movement rather than complex manipulation.
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