#OmronAMR#WarehouseAutomation#MaterialHandling#Intralogistics#SmartFactory#AIpalletizing

Process Overview

This implementation combines Omron AMR logistics robots with an AI-based palletizing system to achieve logistics automation. The customer showed strong interest in adopting an AI-powered logistics automation system to strengthen future competitiveness and to maximize cost savings and operational efficiency through automated palletizing and material handling.

This solution autonomously transports and loads various types of goods, improving efficiency and accuracy in inbound and outbound operations, while reducing physical workload for operators and ensuring workplace safety.

Project Background and Objectives

The customer aimed to optimize logistics operations and reduce costs by adopting an AI-driven automation solution to enhance future logistics competitiveness. In particular, automation was urgently needed for repetitive and heavy palletizing tasks and material transport operations.

The objective of this project is to maximize outbound operation efficiency using AMRs and industrial robots, ensure operator safety, and enable real-time tracking and management of goods. Through this, the customer sought to improve productivity at the logistics site and secure long-term stability and flexibility in future logistics operations.

Components

Robot

Omron AMR logistics robot: A mobile robot equipped with autonomous driving and obstacle avoidance capabilities. It can freely perform material handling tasks by coupling and decoupling carts as needed.

Peripherals
  • AI-based palletizing system: Optimizes stacking for boxes of various sizes using AI algorithms, enabling efficient palletizing based on box shape and weight. 

  • Safety light curtain and fence: Visually separates operator and robot zones, and immediately stops operation when an operator enters the palletizing area to ensure safety. 

  • Inbound/outbound and tracking management system: Monitors inbound/outbound status of each product in real time to maintain accuracy throughout the logistics process.

Workflow

STEP 1.Outbound command: When the operator presses the outbound button, the AMR receives an outbound task from the warehouse management system and autonomously drives to the designated location
STEP 2. Cart preparation and locking: The AMR identifies the cart and secures it with a hook to complete stable transport readiness
STEP 3. Arrival at picking station: The AMR moves to the picking station and prepares for palletizing for loading
STEP 4. Palletizing: The industrial robot stacks boxes onto the cart in an optimized pattern using an AI algorithm
STEP 5. Full cart pickup: When the cart is full, the AMR automatically detects it and proceeds to retrieve it to the designated outbound area
STEP 6. Arrival at outbound area and dispatch: The AMR arrives at the outbound area, detaches the cart, and tracks inventory status in real time through the inbound/outbound management system
STEP 7. Task completion and return to charging: After the task is completed, the AMR automatically returns to the charging station to prepare for the next task.

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AI Palletizing + Omron AMR Logistics Robots for End-to-End Warehouse Automation ๐Ÿ‘

Implementing Company
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Estimated Project Duration
0week
Robot Model
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