Fourier Intelligence GR-1vsMatrix Robotics MATRIX-3
Side-by-side comparison of Fourier Intelligence GR-1 and Matrix Robotics MATRIX-3: specs, price, use cases and SDKs.

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

MATRIX-3
A safe, autonomous, and highly generalizable physical intelligence platform.
Specifications
| Spec | GR-1 | MATRIX-3 |
|---|---|---|
| Price (USD) | $150,000 | $0 |
| Category | humanoid | humanoid |
| Payload | 50 kg | null kg |
| Runtime | 2 h | null h |
| Speed | 1.4 m/s | null m/s |
| Weight | 55 kg | null kg |
| Degrees of Freedom | 40 | null |
| Battery | Li-ion swap | — |
- University research
- Light manufacturing pilots
- Rehabilitation R&D
- Robotic hand teleoperation studies
- Commercial services
- Manufacturing & Industrial Automation
- Logistics
When to pick which
Choose the Fourier Intelligence GR-1 if you are a university researcher or an R&D lead in the rehabilitation sector needing a platform with immediate software accessibility. With its impressive 50kg payload capacity and 40 degrees of freedom, the GR-1 is uniquely suited for heavy-duty teleoperation studies and physical therapy assistance experiments where high torque and structural strength are required. The inclusion of ROS2 drivers and a Python SDK allows for rapid deployment in academic settings. At a $150,000 price point, it serves as a predictable capital expenditure for labs requiring a high-payload humanoid for light industrial pilot programs.
Opt for the Matrix Robotics MATRIX-3 if your priority is a platform focused on autonomous physical intelligence for commercial services or large-scale logistics automation. While the GR-1 emphasizes raw hardware performance, the MATRIX-3 positions itself as a safe, generalizable intelligence solution for dynamic environments like retail or warehouse floors. However, because the current technical documentation lacks specific metrics for payload, reach, and runtime, there is limited public spec data — request a vendor briefing. This platform is best suited for enterprise buyers looking to pilot next-generation AI-driven autonomy rather than specific mechanical research tasks.
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