This large-scale application case features an automated picking and replenishment system utilizing 120 Geek+ P500 mobile robots. By integrating a massive fleet into a unified fulfillment center, the system uses self-learning algorithms to optimize storage layouts based on order frequency. This solution maximizes space utilization and effectively addresses challenges such as labor shortages and rising personnel costs.

Components

Robot
  • Robot: Geek+ P500 (120 Units)

    • Max Payload: 600kg

    • Speed: 2.0m/s (Empty) / 1.6m/s (Full load)

    • Navigation: Inertial Sensor + QR Code

    • Dimensions: L950 x W702 x H275 mm / Weight: 170kg

    • Lifting Height: 60mm / Stop Accuracy: ±10mm

    • Efficiency: 2–3 hours of operation with a 10-minute charge.

    • Operating Temp: -20°C to 50°C.

Workflow

STEP 1.[Picking Process]
STEP 2. Order Entry: Online orders are received and processed by the system.
STEP 3. Targeting: Robots navigate to the specific racks containing the required items.
STEP 4. GTP Transport: Robots lift the racks and move them to the picking station.
STEP 5. Item Picking: Workers pick items from the racks brought by the robots.
STEP 6. Return: Robots return the racks to their optimized storage positions. [Replenishment Process]
STEP 7. Restock Request: A replenishment order is initiated for stock.
STEP 8. Rack Retrieval: Robots move to the corresponding storage racks.
STEP 9. Inbound Flow: Robots carry the racks to the replenishment station.
STEP 10. Loading: New stock is loaded onto the racks by workers.
STEP 11. Final Placement: Robots transport the replenished racks back to the storage area.

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E-commerce Fulfillment using 120 units of Geek+ P500

Implementing Company
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Estimated Project Duration
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Robot Model
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