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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 the 1X Technologies NEO for residential deployments and high-volume consumer pilot programs where human safety and cost-efficiency are the primary constraints. Its $20,000 price point makes it viable for home-care agencies or elder-care facilities looking to scale a fleet of assistants for non-strenuous tasks like light housework or companion care. The 30kg lightweight, soft-bodied construction significantly reduces injury risks in crowded domestic environments compared to heavier industrial units. With a 4-hour runtime, it excels in shift-long monitoring or repetitive domestic chores where continuous operation is prioritized over raw mechanical power or complex research flexibility.

When to pick GR-1

Select the Fourier Intelligence GR-1 for academic research institutions and industrial R&D labs requiring a high-performance, open-platform development vehicle. Its 50kg payload capacity and 40 degrees of freedom make it suitable for heavy-duty teleoperation studies and light manufacturing pilots, such as material handling or assembly line testing. The inclusion of ROS2 drivers and the Fourier OpenAI Stack provides the granular control necessary for complex gait analysis or rehabilitation robotics development. While more expensive at $150,000, the swappable Li-ion battery system ensures minimal downtime in intensive laboratory settings where high-torque actuators and precision movement are essential for testing advanced control algorithms.

AI-generated buyer guidance based on public specs.

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