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Apptronik ApollovsFourier Intelligence Fourier Intelligence GR-3

Side-by-side comparison of Apptronik Apollo and Fourier Intelligence Fourier Intelligence GR-3: specs, price, use cases and SDKs.

Specifications

SpecApolloFourier Intelligence GR-3
Price (USD)
$120,000
$120,000
Category
humanoid
humanoid
Payload
25 kg
3 kg
Runtime
4 h
3 h
Speed
null m/s
Weight
73 kg
71 kg
Degrees of Freedom
55
Battery
Dual hot-swappable batteries
Shared use cases
No shared use cases
Only on Apollo
  • Logistics
  • Manufacturing
  • Warehousing
Only on Fourier Intelligence GR-3
  • Social companionship
  • Service assistant
  • Assisted living
  • Education
  • Healthcare
  • Public services
  • Academic research

When to pick which

When to pick Apollo

Choose the Apptronik Apollo for heavy-duty industrial applications such as warehouse case picking or manufacturing line replenishment. With a 25kg payload capacity—significantly higher than the GR-3—Apollo is built for moving substantial goods in logistics environments. Its ROS2 compatibility allows engineering teams to integrate it into existing industrial automation stacks seamlessly. If your deployment requires a full four-hour runtime to cover peak shifts without frequent battery swaps, Apollo’s endurance and high-torque capabilities make it the superior choice for high-throughput material handling where physical strength and standard robotics middleware are the primary constraints.

When to pick Fourier Intelligence GR-3

Select the Fourier Intelligence GR-3 for human-centric environments like assisted living facilities, healthcare clinics, or academic research labs. While its 3kg payload limits heavy lifting, its 55 degrees of freedom enable the fluid, expressive movements necessary for social companionship and delicate service tasks. The inclusion of hot-swappable batteries is a critical feature for 24/7 service deployments, ensuring zero downtime during shift changes. Furthermore, the support for LeRobotDatasetV2 makes the GR-3 an ideal platform for AI researchers focused on imitation learning and human-robot interaction data pipelines rather than industrial throughput.

AI-generated buyer guidance based on public specs.

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