Covariant RFM-1 Pick CellvsDoosan Robotics H2017
Side-by-side comparison of Covariant RFM-1 Pick Cell and Doosan Robotics H2017: specs, price, use cases and SDKs.

RFM-1 Pick Cell
Foundation-model piece-picking (now Amazon Robotics)

H2017
test
Specifications
| Spec | RFM-1 Pick Cell | H2017 |
|---|---|---|
| Price (USD) | $0 | $38,000 |
| Category | industrial | industrial |
| Payload | 5 kg | 25 kg |
| Weight | 200 kg | 79 kg |
| Reach | 850mm | 1700mm |
| Degrees of Freedom | 6 | 6 |
- Variable-SKU piece picking
- Pharmacy dispensing
- Returns kitting
- Apparel piece picking
- Heavy palletizing
- Automotive component handling
- Press-tending
- Machine loading
When to pick which
Choose the Covariant RFM-1 Pick Cell for high-mix e-commerce fulfillment or pharmacy distribution centers where the primary challenge is handling thousands of unique, unstructured SKUs. While its 5kg payload and 850mm reach are modest, the value lies in the RFM-1 foundation model and Covariant Brain SDK, which allow the system to adapt to new items without manual retraining. This is ideal for apparel returns kitting or unit-level piece picking in facilities requiring high autonomy and intelligence rather than raw lifting power. Its specialized software makes it superior for tasks where vision and decision-making complexity outweigh physical reach requirements.
Select the Doosan Robotics H2017 for heavy-duty industrial automation, such as end-of-line palletizing in food and beverage or machine tending in automotive manufacturing. With a 25kg payload and a 1700mm reach, the H2017 significantly outperforms the RFM-1 in physical capacity, allowing it to handle large components or stack heavy boxes on standard pallets. The $38,000 price point provides a predictable capital expenditure for brownfield integration. Developers can leverage the Doosan ROS2 driver or DRL scripting for precise control over repetitive, high-torque tasks where physical reach and lifting capacity are the critical operational constraints.
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