Warehouse automation
How it works
A WMS/WES receives orders and plans the workflow. AMR/AGV robots and AS/RS systems (storage/retrieval machines, SRM) move goods or entire shelving units to picking stations (goods-to-person) or directly to dispatch points. Machine vision and sensors (LiDAR, cameras) enable navigation, localization (SLAM) and object recognition, while barcodes/RFID identify and track loads. Picking and palletizing robots handle individual items, sorters and conveyors route parcels to the right locations, and orchestration software coordinates the fleet, optimizes routes and updates inventory in real time.
Problem solved
Traditional picking based on workers walking between racks is slow, costly, error-prone and hard to scale with rising e-commerce volumes. Warehouse automation addresses throughput, accuracy, space utilization and labor availability.
Components
Mobile platforms moving goods or whole shelving units to picking stations; AMRs navigate freely using SLAM, AGVs follow predefined paths.
Official
Computer-controlled storage/retrieval machines (SRM), cranes, shuttle systems and vertical carousels providing dense, accurate storage and automated load retrieval.
Official
Industrial arms (4–6 axis) and grippers for picking, packing, palletizing and depalletizing, often aided by machine vision for object recognition and grasping.
Official
Conveyors and high-throughput sortation systems routing cartons and parcels to the correct locations or dispatch gates.
Official
Warehouse management (WMS), execution (WES) and equipment control (WCS) software layer: order intake, stock assignment, fleet planning and coordination, and real-time inventory updates.
Official
Cameras and sensors for navigation, object recognition and quality control, plus load identification via barcodes and RFID tags.
Official
Evolution
In the 1960s the first automated storage and retrieval systems appeared, initially for heavy pallet loads.
Kiva Systems (originally Distrobot) is founded, developing robots that bring shelves to stationary workers rather than the reverse.
Amazon acquires Kiva Systems for about $775M (later Amazon Robotics), mainstreaming large-scale mobile warehouse robotics.
Agility Robotics' Digit humanoid begins being used for bulk material handling and logistics tasks in warehouses.
Amazon announces its one-millionth warehouse robot and DeepFleet, an AI model coordinating fleet routes, making the fleet about 10% faster.
Execution paradigm
Event-driven operation: orders and inventory state dynamically trigger robot tasks and fleet routing.