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Boston Dynamics AtlasvsFigure AI Figure 02

Side-by-side comparison of Boston Dynamics Atlas and Figure AI Figure 02: specs, price, use cases and SDKs.

Specifications

SpecAtlasFigure 02
Price (USD)
$0
$150,000
Category
humanoid
humanoid
Payload
50 kg
20 kg
Runtime
4 h
5 h
Speed
2.5 m/s
Weight
90 kg
70 kg
Reach
2.3 m
Degrees of Freedom
56
Battery
Self-swappable lithium-ion
Shared use cases
  • Logistics
Only on Atlas
  • Industrial automation
  • Material handling
  • Part sequencing
  • Research and Development
Only on Figure 02
  • Manufacturing
  • Warehousing

When to pick which

When to pick Atlas

Choose Boston Dynamics Atlas for high-intensity industrial environments requiring significant physical power and complex manipulation. With a 50kg payload capacity and 2.3m reach, Atlas is superior for heavy material handling and part sequencing tasks that exceed the physical limits of lighter humanoids. Its 56 degrees of freedom and 2.5m/s speed make it the ideal choice for research institutions or large-scale logistics hubs where rapid, agile movement is critical. If your deployment involves moving heavy automotive components or navigating complex, unconstrained industrial spaces, Atlas’s superior power-to-weight ratio and advanced Orbit software provide the necessary performance overhead for demanding automation.

When to pick Figure 02

Opt for Figure AI Figure 02 for commercial manufacturing and warehousing applications where operational uptime and ease of integration are prioritized over raw power. The 5-hour runtime offers a 25% endurance advantage over Atlas, making it better suited for full-shift logistics tasks like small-parcel sorting or light assembly in automotive plants. At 70kg, its lighter frame is safer for collaborative environments. The inclusion of REST and Python SDKs allows for faster deployment within existing enterprise software stacks. For a fleet-scale rollout in a production line focusing on sub-20kg payloads, Figure 02 provides a more cost-effective, commercially-ready solution.

AI-generated buyer guidance based on public specs.

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