Avidbots Neo 2WvsDoosan Robotics H2017
Side-by-side comparison of Avidbots Neo 2W and Doosan Robotics H2017: specs, price, use cases and SDKs.
Specifications
| Spec | Neo 2W | H2017 |
|---|---|---|
| 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 | — |
- Warehouse floor cleaning
- Retail store hours-after cleaning
- Airport terminal cleaning
- Manufacturing facility maintenance
- Heavy palletizing
- Automotive component handling
- Press-tending
- Machine loading
When to pick which
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.
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.
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