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Humanoid HMND 01vsUnitree Robotics H1

Side-by-side comparison of Humanoid HMND 01 and Unitree Robotics H1: specs, price, use cases and SDKs.

Specifications

SpecHMND 01H1
Price (USD)
$0
$90,000
Category
humanoid
humanoid
Payload
30 kg
Runtime
2 h
Speed
1.5 m/s
3.3 m/s
Weight
47 kg
Degrees of Freedom
19
Shared use cases
No shared use cases
Only on HMND 01
  • Factory tote handling
  • Goods handling
  • Picking and packing
  • Kitting and part handling
  • Machine feeding and offbearing
Only on H1
  • Humanoid robotics research
  • Industrial R&D
  • Content creation / film
  • Robotics competitions

When to pick which

When to pick HMND 01

Choose the Humanoid HMND 01 for high-volume factory logistics and brownfield warehouse automation where reliability and throughput are critical. Its omnidirectional wheeled base and 8-hour tested uptime make it superior for continuous shifts compared to bipedal alternatives. Buyers in the automotive or electronics manufacturing sectors should prioritize this model for tasks like tote handling and machine feeding, leveraging the Siemens-validated NVIDIA GR00T N1.6 AI stack. The 90% pick-and-place success rate and 60 tote-per-hour throughput provide the necessary performance metrics for production-scale deployments that require deep integration with industrial software ecosystems like Isaac Sim.

When to pick H1

Select the Unitree Robotics H1 for academic research, robotics competitions, or industrial R&D departments focused on bipedal locomotion and dynamic balancing. At a sub-$90,000 price point, it is the preferred choice for labs needing an accessible, high-speed platform to test navigation algorithms or human-robot interaction. Its 3.3 m/s walking speed and 19 degrees of freedom offer a versatile testbed for developers utilizing the open-source Unitree SDK and ROS2. Choose this model for content creation or pilot studies where bipedal mobility is required to navigate stairs or uneven terrain that wheeled industrial humanoids cannot traverse.

AI-generated buyer guidance based on public specs.

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