• Industry > Logistics
  • Application > Logistics
  • Sector > Logistics

This application case features a large-scale automated picking and replenishment system utilizing 70 units of Geek+ P800 mobile robots. By implementing a "Goods-to-Person" (GTP) model, the system optimizes warehouse layouts based on frequency of use through self-learning algorithms, maximizing storage density and operational efficiency in a compact space.

Components

Robot
  • Robot: Geek+ P800 (70 Units)

    • Max Payload: 1,000kg

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

    • Navigation: Inertial Sensor + QR Code

    • Dimensions: L1090 x W830 x H275 mm / Weight: 195kg

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

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

    • Operating Temp: -20°C to 50°C (Suitable for cold storage).

Workflow

STEP 1.
[Picking Process]
STEP 2.
Order Entry: Orders are received and processed by the system.
STEP 3.
Targeting: Robots navigate to the specific racks containing the ordered items.
STEP 4.
Transport: Robots lift the racks and move them to the designated picking station.
STEP 5.
Item Picking: Workers pick the items from the rack brought by the robot.
STEP 6.
Return: Robots return the racks to their optimal storage positions.
STEP 7.
[Replenishment Process]
STEP 8.
Restock Request: A replenishment order is initiated for low-stock items.
STEP 9.
Rack Retrieval: Robots move to the corresponding storage racks.
STEP 10.
Inbound Flow: Robots carry the racks to the replenishment station.
STEP 11.
Loading: New stock is loaded onto the racks.
STEP 12.
Final Placement: Robots transport the replenished racks back to the storage area.

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