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Kepler Robotics Kepler K2 BumblebeevsUnitree Robotics Unitree G1

Side-by-side comparison of Kepler Robotics Kepler K2 Bumblebee and Unitree Robotics Unitree G1: specs, price, use cases and SDKs.

Specifications

SpecKepler K2 BumblebeeUnitree G1
Price (USD)
$30,000
$16,000
Category
humanoid
humanoid
Payload
30 kg
Runtime
8 h
2 h
Speed
1.11 m/s
2 m/s
Weight
75 kg
35 kg
Degrees of Freedom
52
23
Battery
2.33 kWh
9000mAh
Shared use cases
No shared use cases
Only on Kepler K2 Bumblebee
  • Material handling
  • Intelligent manufacturing
  • Logistics
  • Inspection
  • Research and education
  • Hazardous conditions
Only on Unitree G1
  • Research
  • Education
  • Demos
  • Home companion prototyping

When to pick which

When to pick Kepler K2 Bumblebee

Choose the Kepler K2 Bumblebee for industrial-scale manufacturing and logistics deployments where high physical output and shift-long endurance are non-negotiable. With a 30kg payload capacity and an 8-hour runtime, it is built for heavy-duty material handling and continuous inspection cycles that the G1 cannot sustain. Its 52 degrees of freedom provide the dexterity required for complex assembly tasks or navigating hazardous industrial environments. This is the superior choice for enterprise buyers needing a robust, full-sized worker capable of replacing manual labor in high-intensity environments where reliability and strength drive the return on investment.

When to pick Unitree G1

Select the Unitree G1 for academic research, software prototyping, or rapid robotic development where budget and portability are primary constraints. At nearly half the price of the Kepler K2, it allows universities and R&D labs to deploy multi-robot fleets for swarm intelligence or human-robot interaction studies. Its lightweight 35kg frame and 2m/s speed make it safer and more agile for indoor testing. With native support for ROS2 Humble and Python, it is optimized for developers who prioritize software integration and algorithm testing over raw lifting power or industrial endurance.

AI-generated buyer guidance based on public specs.

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