Stardust Intelligence Astribot S1vsFigure AI Figure 02
Side-by-side comparison of Stardust Intelligence Astribot S1 and Figure AI Figure 02: specs, price, use cases and SDKs.

Astribot S1
Ultra-fast humanoid robot for high-precision, AI-driven manipulation.

Figure 02
Commercial humanoid for BMW plants
Specifications
| Spec | Astribot S1 | Figure 02 |
|---|---|---|
| Price (USD) | $96,000 | $150,000 |
| Category | humanoid | humanoid |
| Payload | 10 kg | 20 kg |
| Runtime | 4 h | 5 h |
| Speed | 0.42 m/s | — |
| Weight | 80 kg | 70 kg |
| Degrees of Freedom | 23 | — |
- Household chores
- Industrial automation
- Research and development
- Service industries
- Manufacturing
- Logistics
- Warehousing
When to pick which
Choose the Stardust Intelligence Astribot S1 for research institutions or service-sector startups focused on complex, high-dexterity tasks like household assistance or intricate assembly. Its 23 degrees of freedom and VR teleoperation toolchain make it superior for training AI models through imitation learning. At a significantly lower price point of $96,000, it is the better choice for pilot programs in hospitality or labs requiring a versatile platform for human-robot interaction studies. The inclusion of simulation platform support allows developers to iterate on software before physical deployment, reducing risk in R&D environments where high-precision manipulation is prioritized over heavy lifting.
Opt for the Figure AI Figure 02 for large-scale industrial deployments in manufacturing and logistics, particularly where heavy-duty throughput is required. With a 20kg payload capacity—double that of the S1—and a longer 5-hour runtime, this robot is engineered for demanding shifts in environments like automotive assembly lines or high-volume warehouses. Its proven track record in BMW plants suggests a level of commercial readiness and hardware durability essential for enterprise-scale operations. Choose this model if your facility requires a lighter, more efficient unit capable of sustained material handling and seamless integration via enterprise-grade APIs and Python-based control systems.
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