Unmanned Drive Units Navigate Using Floor Patterns
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Solution Overview
Problem
Modern inventory systems face inefficiencies in resource utilization, leading to lower throughput, long response times, and increased backlogs due to the challenges of managing large numbers of diverse inventory requests.
Innovation Solution
A mobile order fulfillment system utilizing unmanned robotic drive units that navigate using identifiable patterns on the floor, allowing them to autonomously move inventory holders to workstations or storage areas, optimizing resource allocation and task management through image recognition and mapping techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inventory management methods are used, then system complexity is low, but productivity and response time deteriorate due to inefficient resource utilization
Solution Approach 1:
The system enables autonomous navigation and task execution by drive units without continuous human intervention. The drive units independently navigate to locations, retrieve inventory holders, and deliver them to workstations, allowing the system to serve itself and dramatically improving productivity while managing complexity through automation
Solution Approach 2:
The patent replaces manual mechanical operations with automated robotic drive units equipped with sensors, cameras, and navigation systems. This substitution of mechanical human labor with automated systems resolves the contradiction by enabling high-speed automated inventory handling while the complexity is managed through integrated control systems
2Productivity
If more inventory holders are moved simultaneously, then productivity increases, but loss of time increases due to coordination challenges and backlogs
Solution Approach 1:
The system continuously monitors the positions and statuses of multiple drive units and inventory holders through sensors and communication systems. This real-time feedback enables dynamic coordination and conflict resolution, allowing high concurrency of operations without increasing response time, as the system can immediately detect and resolve bottlenecks
Solution Approach 2:
The system performs preliminary path planning and task allocation before drive units begin movement. By pre-coordinating routes and tasks for multiple drive units, the system prevents conflicts and backlogs before they occur, enabling high productivity while maintaining fast response times through proactive rather than reactive management
Data Source
AI summary
In an infrastructure that uses a mobile order fulfillment system, robotic drive units may be dispatched and instructed to bring inventory holders to a workstation where at least one of the inventory holders may be operated upon. A random pattern or other image may be applied to a floor surface of the infrastructure, from which a map may be created that associates locations within the infrastructure to different portions of the image. A robotic drive unit may then reference the map along with images of the floor surface captured by its camera in order to determine its current location, as well as how to reach a desired destination.