Autonomous Logistics Center Flow Using Singulators and Transport Robots
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Solution Overview
Problem
Current logistics center automation systems face inefficiencies due to the lack of comprehensive automation in processes such as article classification, sorting, transfer, loading, and unloading, leading to suboptimal throughput and increased operator workload, especially with the need for manual barcode recognition by mobile robots.
Innovation Solution
A logistics center automation system that includes a singulator with cluster control for simultaneous article movement, transport robots with autonomous navigation and multi-recognizers for destination extraction, and an automatic loader using 3D depth cameras, all controlled by a central controller to adjust operations based on changing article volumes, enabling optimized device operations and increased throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operation is used for barcode recognition and article loading, then device complexity is reduced, but productivity decreases due to lower throughput per hour
Solution Approach 1:
The mobile robot performs barcode recognition and article loading autonomously without human intervention. The robot navigates independently, scans barcodes using integrated readers, and loads articles into containers, enabling the system to serve itself and dramatically increasing throughput while maintaining manageable complexity through integration of functions into a single mobile platform
Solution Approach 2:
The mobile robot integrates multiple functions including navigation, barcode recognition, article handling, and loading operations into a single platform. This multi-functionality allows one device to replace multiple separate systems (manual operators, fixed scanners, loading mechanisms), improving productivity while consolidating rather than increasing overall system complexity
2Productivity
If article classifier operates at high speed, then productivity increases, but it becomes difficult to keep up with loading speed when a person loads articles
Solution Approach 1:
The mobile robot autonomously performs the loading task that previously required manual operation. It independently navigates to the classifier, receives articles, and loads them into containers without human assistance, enabling the system to match the high-speed output of the article classifier and eliminating the bottleneck at the loading stage
Solution Approach 2:
The patent replaces the manual mechanical loading process with an automated robotic system. The mobile robot uses mechanical arms and sensors to handle articles, substituting human physical labor with automated machinery that can operate at speeds matching the high-speed classifier, thereby resolving the speed mismatch between classification and loading operations
3Ease of operation
If mobile robots are used for article recognition and loading, then ease of operation improves, but productivity decreases because a person must operate the mobile robot
Solution Approach 1:
The mobile robot is designed to operate autonomously without requiring a human operator. It uses onboard sensors, barcode readers, and navigation systems to independently perform recognition and loading tasks. This self-service capability eliminates the need for manual operation while maintaining high automation benefits, thereby resolving the contradiction between ease of operation and productivity by enabling fully autonomous operation that maximizes throughput
Data Source
AI summary
A logistics center automation system includes a singulator to which a cluster control for simultaneously moving articles unloaded from a plurality of unloading vehicles is applied, a transport robot configured to deliver the articles moved by the singulator to a loading vehicle corresponding to destination information, a mobile multi-recognizer configured to extract destination information of the transport robot, and a controller configured to control the singulator, the transport robot, and the mobile multi-recognizer.