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Hexagon AB AEONvsKepler Robotics Kepler K2 Bumblebee

Side-by-side comparison of Hexagon AB AEON and Kepler Robotics Kepler K2 Bumblebee: specs, price, use cases and SDKs.

Specifications

SpecAEONKepler K2 Bumblebee
Price (USD)
$0
$30,000
Category
humanoid
humanoid
Payload
8 kg
30 kg
Runtime
4 h
8 h
Speed
2.4 m/s
1.11 m/s
Weight
60 kg
75 kg
Degrees of Freedom
34
52
Battery
Hot-swappable lithium pack
2.33 kWh
Shared use cases
  • Material handling
Only on AEON
  • Manipulation
  • Asset inspection
  • Reality capture
  • Operator support
  • Machine tending
  • Digital twin creation
  • Precision assembly
Only on Kepler K2 Bumblebee
  • Intelligent manufacturing
  • Logistics
  • Inspection
  • Research and education
  • Hazardous conditions

When to pick which

When to pick AEON

Select the Hexagon AB AEON for high-speed industrial environments requiring deep digital integration, such as precision electronics assembly or automotive quality control. Its 2.4 m/s speed makes it significantly more agile for rapid pick-and-place or inspection tasks compared to the Kepler. Buyers leveraging the NVIDIA Isaac and Omniverse ecosystems should prioritize the AEON for seamless digital twin creation and simulation-to-reality workflows. The hot-swappable battery system suits continuous operations where downtime for charging is not an option. Choose this model when software compatibility with Microsoft Azure and NVIDIA’s AI stack is a primary deployment constraint.

When to pick Kepler K2 Bumblebee

Choose the Kepler K2 Bumblebee for heavy-duty logistics and manufacturing tasks that demand high physical strength and dexterity. With a 30kg payload capacity—nearly four times that of the AEON—it is better suited for moving heavy crates or machine parts. The 52 degrees of freedom provide superior manipulation capabilities for complex assembly in tight spaces. Its 8-hour runtime and 2.33 kWh battery support full-shift autonomy without intervention. At a $30,000 price point, it offers a cost-effective solution for scaling humanoid fleets in warehouses or hazardous zones where raw power and endurance are the critical performance drivers.

AI-generated buyer guidance based on public specs.

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