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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. This is the optimal choice for airport operations managers or warehouse directors overseeing high-traffic environments like distribution centers or 24/7 retail hubs. The primary driver is its 14-hour runtime and autonomous navigation, which allows for continuous cleaning across massive square footage without operator supervision. While the $60,000 price point is higher, the investment is justified for facilities requiring automated maintenance of vast surfaces, a task that stationary or payload-focused arms cannot perform. Use the Avidbots Command Center to manage multi-robot fleets across global sites.

When to pick H2017

Opt for the Doosan Robotics H2017 when your deployment focuses on precision manipulation and heavy-duty material handling within a production cell. This cobot is specifically designed for automotive manufacturing or logistics centers needing to automate heavy palletizing or machine loading tasks. With a 25kg payload capacity and a 1700mm reach, it excels at moving bulky components or tending to industrial presses where human safety and high torque are required. At $38,000, it offers a cost-effective solution for high-mix, low-volume production lines. Choose this model if your constraint is vertical reach or the need to integrate with ROS2 for complex, stationary assembly tasks.

AI-generated buyer guidance based on public specs.

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