Fourier Intelligence GR-1vsUBTECH Walker S2
Side-by-side comparison of Fourier Intelligence GR-1 and UBTECH Walker S2: specs, price, use cases and SDKs.

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

Walker S2
Swappable-battery industrial humanoid
Specifications
| Spec | GR-1 | Walker S2 |
|---|---|---|
| Price (USD) | $150,000 | $40,000 |
| Category | humanoid | humanoid |
| Payload | 50 kg | 15 kg |
| Runtime | 2 h | 4 h |
| Speed | 1.4 m/s | — |
| Weight | 55 kg | 95 kg |
| Degrees of Freedom | 40 | — |
| Battery | Li-ion swap | — |
- University research
- Light manufacturing pilots
- Rehabilitation R&D
- Robotic hand teleoperation studies
- Factory automation
- Logistics
- Industrial pilots
When to pick which
Choose the Fourier Intelligence GR-1 for advanced research environments, such as university robotics labs or medical rehabilitation centers, where high-fidelity manipulation and software flexibility are paramount. Its 40 degrees of freedom and comprehensive SDK support, including ROS2 and Python, make it the superior choice for teleoperation studies and fine motor skill development. Furthermore, the GR-1’s exceptional 50kg payload capacity—nearly equal to its own body weight—is critical for pilot programs involving heavy material handling or patient-assistive tasks that the Walker S2 cannot support. It is the definitive platform for developers requiring an open-stack architecture for custom algorithm deployment.
Opt for the UBTECH Walker S2 when deploying humanoid fleets for industrial automation or logistics at scale. At a $40,000 price point—nearly a quarter of the cost of the GR-1—it is the financially viable option for factory managers testing multi-unit coordination in warehouse environments. The Walker S2 offers a superior four-hour runtime, doubling the operational window of its competitor, which is essential for maintaining throughput in shift-based manufacturing pilots. While it has a lower payload capacity, its focus on industrial durability and lower barrier to entry makes it ideal for high-volume logistics tasks where cost-per-unit and uptime are the primary constraints.
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