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Avidbots Neo 2WvsDoosan Robotics H2017

Side-by-side comparison of Avidbots Neo 2W and Doosan Robotics H2017: specs, price, use cases and SDKs.

Specifications

SpecNeo 2WH2017
Price (USD)
$60,000
$38,000
Category
industrial
industrial
Payload
0 kg
25 kg
Runtime
14 h
Speed
1.1 m/s
Weight
320 kg
79 kg
Reach
1700mm
Degrees of Freedom
6
Battery
Li-ion 48V
Shared use cases
No shared use cases
Only on Neo 2W
  • Warehouse floor cleaning
  • Retail store hours-after cleaning
  • Airport terminal cleaning
  • Manufacturing facility maintenance
Only on H2017
  • Heavy palletizing
  • Automotive component handling
  • Press-tending
  • Machine loading

When to pick which

When to pick Neo 2W

Select the Avidbots Neo 2W for large-scale facility management where consistent floor hygiene is critical, such as in international airport terminals or expansive distribution centers. The primary driver for this choice is its 14-hour runtime and autonomous navigation, which allow it to cover massive surface areas without human supervision. In a 24/7 manufacturing environment, the Neo 2W replaces manual cleaning crews, utilizing its 320kg frame to provide industrial-grade scrubbing pressure. Choose this if your constraint is labor costs for floor maintenance across thousands of square meters, as the integrated fleet analytics and Command Center SDK provide high-level oversight of cleaning performance.

When to pick H2017

Opt for the Doosan Robotics H2017 when automating stationary production tasks like heavy palletizing or automotive component handling. Its 25kg payload capacity and 1700mm reach make it ideal for machine loading or press-tending in manufacturing cells where precision is paramount. Unlike a mobile scrubber, the H2017 offers 6 degrees of freedom, allowing for complex manipulation of parts. At a $38,000 price point, it is the superior choice for enterprises needing a high-torque cobot that integrates into existing workflows via ROS2 or Dart-Platform. Choose this for high-cycle industrial applications requiring repeatable, heavy-duty material handling within a fixed workspace.

AI-generated buyer guidance based on public specs.

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