Figure AI Figure 02vsHexagon AB AEON
Side-by-side comparison of Figure AI Figure 02 and Hexagon AB AEON: specs, price, use cases and SDKs.

Figure 02
Commercial humanoid for BMW plants

AEON
Humanoid robot for industrial applications, addressing labor shortages and enhancing efficiency.
Specifications
| Spec | Figure 02 | AEON |
|---|---|---|
| Price (USD) | $150,000 | $0 |
| Category | humanoid | humanoid |
| Payload | 20 kg | 8 kg |
| Runtime | 5 h | 4 h |
| Speed | — | 2.4 m/s |
| Weight | 70 kg | 60 kg |
| Degrees of Freedom | — | 34 |
| Battery | — | Hot-swappable lithium pack |
- Manufacturing
- Logistics
- Warehousing
- Manipulation
- Asset inspection
- Reality capture
- Operator support
- Machine tending
- Material handling
- Digital twin creation
- Precision assembly
When to pick which
Choose the Figure AI Figure 02 for high-volume automotive manufacturing or heavy-duty logistics where payload capacity is the primary constraint. With a 20kg payload—more than double that of the AEON—it is purpose-built for moving substantial components or heavy bins in environments like BMW production plants. Buyers managing large-scale deployments will benefit from its 5-hour runtime, reducing the frequency of charging cycles during a shift. Its enterprise-focused Figure API and Python SDK provide a streamlined path for industrial engineers to integrate humanoid labor into existing manufacturing execution systems requiring high physical output and sustained mechanical performance.
Select the Hexagon AB AEON for precision-oriented tasks such as digital twin creation, reality capture, or intricate machine tending within an NVIDIA-centric software stack. While it offers a lower 8kg payload, its 34 degrees of freedom and deep integration with NVIDIA Isaac Lab and GR00T N1.5 make it superior for complex manipulation and simulation-heavy workflows. It is the ideal choice for facilities prioritizing asset inspection and operator support where hot-swappable batteries allow for near-continuous uptime. Choose this platform if your deployment relies on Microsoft Azure or NVIDIA Omniverse for real-time synchronization between physical assets and digital models.
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