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Agility Robotics Digit v4vsKepler Robotics Kepler K2 Bumblebee

Side-by-side comparison of Agility Robotics Digit v4 and Kepler Robotics Kepler K2 Bumblebee: specs, price, use cases and SDKs.

Specifications

SpecDigit v4Kepler K2 Bumblebee
Price (USD)
$250,000
$30,000
Category
humanoid
humanoid
Payload
16 kg
30 kg
Runtime
4 h
8 h
Speed
1.5 m/s
1.11 m/s
Weight
65 kg
75 kg
Degrees of Freedom
20
52
Battery
LiPo, hot-swap
2.33 kWh
Shared use cases
No shared use cases
Only on Digit v4
  • Warehouse tote handling
  • Truck unloading
  • Bulk pack to conveyor
  • Recycling sortation
Only on Kepler K2 Bumblebee
  • Material handling
  • Intelligent manufacturing
  • Logistics
  • Inspection
  • Research and education
  • Hazardous conditions

When to pick which

When to pick Digit v4

Choose the Agility Robotics Digit v4 for large-scale logistics operations requiring immediate, commercial-grade reliability in structured environments like distribution centers. If your facility prioritizes continuous 24/7 uptime, Digit’s hot-swap battery system and the Agility Arc cloud platform provide the fleet management infrastructure necessary for multi-robot coordination. Its ROS2 bridge makes it the superior choice for enterprises with existing software stacks needing a stable, bipedal platform specifically optimized for repetitive tote-to-conveyor tasks. While the payload is lower than the K2, the Digit’s proven deployment history in real-world warehouses offers lower operational risk for risk-averse industrial buyers.

When to pick Kepler K2 Bumblebee

Select the Kepler Robotics Kepler K2 Bumblebee for manufacturing facilities or research institutions operating on tighter capital expenditure budgets. At a $30,000 price point, it allows for higher-density deployments or pilot programs where cost-per-unit is critical. With a 30kg payload capacity—nearly double that of the Digit—it is better suited for heavy material handling and industrial assembly tasks. The 52 degrees of freedom and 8-hour runtime make it a versatile choice for complex manipulation research or long-shift inspection roles in hazardous environments. Limited public spec data on real-world reliability exists—request a vendor briefing to verify performance under sustained industrial loads.

AI-generated buyer guidance based on public specs.

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