Figure AI Figure 02vsMatrix Robotics MATRIX-3
Side-by-side comparison of Figure AI Figure 02 and Matrix Robotics MATRIX-3: specs, price, use cases and SDKs.

Figure 02
Commercial humanoid for BMW plants

MATRIX-3
A safe, autonomous, and highly generalizable physical intelligence platform.
Specifications
| Spec | Figure 02 | MATRIX-3 |
|---|---|---|
| Price (USD) | $150,000 | $0 |
| Category | humanoid | humanoid |
| Payload | 20 kg | null kg |
| Runtime | 5 h | null h |
| Speed | — | null m/s |
| Weight | 70 kg | null kg |
| Degrees of Freedom | — | null |
- Logistics
- Manufacturing
- Warehousing
- Commercial services
- Manufacturing & Industrial Automation
When to pick which
Choose the Figure 02 for high-volume automotive manufacturing or heavy-duty logistics where reliability and payload capacity are critical. With a 20kg payload and a five-hour runtime, it is specifically engineered for repetitive, physically demanding tasks like chassis assembly or heavy part manipulation in BMW-scale facilities. Buyers requiring immediate integration into existing enterprise software stacks should favor this model due to its mature Figure API and Python SDK support. Its proven deployment in industrial plants makes it the superior choice for operations needing a validated humanoid platform capable of sustained physical labor and high-torque tasks without frequent charging interruptions.
Opt for the Matrix Robotics MATRIX-3 if your focus is on developing or deploying generalizable physical intelligence within commercial service sectors or flexible industrial automation. As a platform emphasizing autonomous intelligence and safety, it is positioned for pilot programs in hospitality or retail where human-robot interaction is frequent and adaptability is prioritized over raw payload. However, because current technical specifications regarding payload, reach, and battery life are unavailable, this choice is currently best for R&D teams looking to influence a developing platform. Limited public spec data — request a vendor briefing to determine its suitability for specific production scales.
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