Robotic Container Grid Layout for High-Density Product Retrieval
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Solution Overview
Problem
Existing storage and retrieval systems for multiple product lines suffer from low storage density due to the need for aisle space, which is inefficient for online retail and warehouse operations handling tens of thousands of different product lines.
Innovation Solution
A system and method for optimizing the horizontal and vertical placement of containers based on traffic flows, frequency of access, and environmental considerations, using a grid-like structure with robotic devices that can dynamically adjust container positions for efficient retrieval and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If aisles are provided between rows of shelves for access, then product retrieval is enabled, but storage density decreases
Solution Approach 1:
The patent transitions from horizontal aisle-based access to vertical access by stacking containers vertically and providing access from above. This dimensional change eliminates the need for horizontal aisles, allowing containers to be arranged in dense vertical stacks while maintaining accessibility through overhead robotic mechanisms.
Solution Approach 2:
The patent replaces manual operative access through aisles with automated robotic mechanisms that operate from above the stacked containers. This substitution enables high-density vertical stacking while maintaining retrieval capability through automated systems rather than human operators requiring physical walkways.
2Quantity of substance
If containers are stacked vertically to increase storage density, then more products fit in given volume, but access complexity increases
Solution Approach 1:
The patent segments the container access system into modular components: individual robotic units that can independently service multiple stacks, modular container stacks with standardized interfaces, and distributed control systems. This segmentation manages complexity by breaking down the overall access system into manageable, interchangeable parts.
Solution Approach 2:
The robotic system incorporates autonomous navigation and self-coordination capabilities, allowing robots to independently determine optimal paths and coordinate with each other without constant centralized control. This self-service approach reduces control system complexity while maintaining efficient access to vertically stacked containers.
3Extent of automation
If robotic devices navigate through grid pathways to access containers, then automated retrieval is achieved, but coordination complexity increases
Solution Approach 1:
The patent implements dynamic path planning and real-time route optimization for robotic devices navigating the grid pathways. The coordination system continuously adapts robot routes based on current container locations, robot positions, and retrieval priorities, transforming static navigation into a dynamic, responsive system that manages complexity through flexibility.
Solution Approach 2:
The system performs preliminary coordination by pre-planning robot paths and predicting future container movement patterns. By anticipating future states and pre-coordinating robot movements, the system reduces real-time coordination complexity while maintaining high automation levels.
Data Source
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AI summary
Systems, methods, and machine-executable coded instruction sets for controlling the movement of transporting devices and/or operations conducted at various workstations are disclosed. In particular, the disclosure provides methods, systems and computer-readable media for controlling the movement of transporting devices configured for fully - and/or partly automated handling of goods and/or controlling operations conducted at various workstations.