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Engineered Arts AmecavsFourier Intelligence GR-1

Side-by-side comparison of Engineered Arts Ameca and Fourier Intelligence GR-1: specs, price, use cases and SDKs.

Specifications

SpecAmecaGR-1
Price (USD)
$175,000
$150,000
Category
humanoid
humanoid
Payload
50 kg
Runtime
2 h
Speed
1.4 m/s
Weight
50 kg
55 kg
Reach
Upper-body humanoid
Degrees of Freedom
51
40
Battery
Li-ion swap
Shared use cases
No shared use cases
Only on Ameca
  • HRI research
  • Museum / theme park installations
  • Brand activations
  • Film + TV
Only on GR-1
  • University research
  • Light manufacturing pilots
  • Rehabilitation R&D
  • Robotic hand teleoperation studies

When to pick which

When to pick Ameca

Choose the Engineered Arts Ameca for high-stakes public-facing environments like museum installations, theme parks, or luxury brand activations where emotional engagement is the primary KPI. While priced at $175,000, its 51 degrees of freedom are concentrated in the face and upper body to deliver hyper-realistic expressions that mimic human nuance. This makes it the superior choice for HRI researchers studying social robotics or media production houses needing a lifelike presence for film and TV. The Tritium OS and native LLM plugins allow for immediate, sophisticated conversational deployment without building custom animation frameworks from scratch.

When to pick GR-1

Select the Fourier Intelligence GR-1 for university laboratories or industrial R&D centers focused on bipedal locomotion and physical labor. At $150,000, it offers a functional 50kg payload and a 1.4 m/s walking speed, making it suitable for light manufacturing pilots or rehabilitation studies where the robot must move through a facility. The inclusion of ROS2 drivers and a Python SDK provides a flexible, open-platform environment for developers to test custom gait algorithms or teleoperation. Its swappable Li-ion battery system is a critical feature for maintaining continuous testing cycles in high-utilization research environments.

AI-generated buyer guidance based on public specs.

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