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Unitree Robotics Unitree G1vsUnitree Robotics H1

Side-by-side comparison of Unitree Robotics Unitree G1 and Unitree Robotics H1: specs, price, use cases and SDKs.

Specifications

SpecUnitree G1H1
Price (USD)
$16,000
$90,000
Category
humanoid
humanoid
Payload
30 kg
Runtime
2 h
2 h
Speed
2 m/s
3.3 m/s
Weight
35 kg
47 kg
Degrees of Freedom
23
19
Battery
9000mAh
Shared use cases
No shared use cases
Only on Unitree G1
  • Research
  • Education
  • Demos
  • Home companion prototyping
Only on H1
  • Humanoid robotics research
  • Industrial R&D
  • Content creation / film
  • Robotics competitions

When to pick which

When to pick Unitree G1

Choose the Unitree G1 for academic institutions or R&D startups focused on fine-motor manipulation and home service robotics. With a significantly lower price point of $16,000, it allows for multi-unit deployments in classroom settings or swarm research. Its 23 degrees of freedom provide superior dexterity compared to the H1, making it the better choice for prototyping human-centric tasks like object handling or gesture-based interaction. The inclusion of ROS2 Humble and Python SDKs ensures a smooth integration for students and researchers primarily focused on software-driven behavioral development rather than heavy-duty industrial locomotion or high-speed transport.

When to pick H1

Opt for the Unitree H1 for industrial R&D centers and logistics firms requiring a robust platform for heavy-duty testing. The H1’s standout 30kg payload capacity and record-breaking 3.3m/s walking speed make it suitable for simulating warehouse tasks or rapid outdoor navigation that the G1 cannot handle. It is the preferred choice for high-stakes robotics competitions or film production where physical presence and high-speed stability are critical. While it has fewer degrees of freedom, its superior power-to-weight ratio and industrial-grade build justify the $90,000 investment for organizations prioritizing physical performance and large-scale hardware stress testing over budget constraints.

AI-generated buyer guidance based on public specs.

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