- Industry > Logistics
- Application > Logistics
- Sector > Logistics
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.
- STEP 7.
- [Replenishment Process]
- STEP 8.
- Restock Request: A replenishment order is initiated for stock.
- 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 by workers.
- STEP 12.
- Final Placement: Robots transport the replenished racks back to the storage area.
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