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1X Technologies NEOvsFourier Intelligence GR-1

Side-by-side comparison of 1X Technologies NEO and Fourier Intelligence GR-1: specs, price, use cases and SDKs.

Specifications

SpecNEOGR-1
Price (USD)
$20,000
$150,000
Category
humanoid
humanoid
Payload
20 kg
50 kg
Runtime
4 h
2 h
Speed
1.4 m/s
Weight
30 kg
55 kg
Degrees of Freedom
40
Battery
Li-ion swap
Shared use cases
No shared use cases
Only on NEO
  • Home assistance
  • Elderly care
  • Housework
Only on GR-1
  • University research
  • Light manufacturing pilots
  • Rehabilitation R&D
  • Robotic hand teleoperation studies

When to pick which

When to pick NEO

Choose 1X Technologies NEO for large-scale residential deployments, elderly care facilities, or consumer-facing service pilots where safety and budget are primary constraints. At $20,000, it is the superior choice for scaling a fleet of home assistants compared to high-cost research platforms. The soft-bodied construction provides a critical safety layer for close-proximity human interaction in domestic settings. Its 4-hour runtime and 30kg lightweight frame make it ideal for prolonged housework tasks and light assistance. Developers targeting the consumer market should utilize the 1X API to build applications where a non-threatening, lightweight form factor is essential for user acceptance.

When to pick GR-1

Select the Fourier Intelligence GR-1 for university robotics laboratories, automotive manufacturing pilots, or medical rehabilitation R&D. The $150,000 investment is justified by its 50kg payload capacity and 40 degrees of freedom, enabling heavy-duty industrial manipulation and complex teleoperation studies that lighter models cannot handle. The inclusion of ROS2 drivers and the Fourier OpenAI Stack caters to researchers requiring deep hardware access for gait analysis or dexterity testing. Its 1.4 m/s speed and swappable battery system support high-intensity testing environments where rapid deployment and minimal downtime are required for industrial-grade performance validation.

AI-generated buyer guidance based on public specs.

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