Dual-Bin AGV Picking With Onboard Robot Asset Transfer
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Solution Overview
Problem
Existing warehouse management systems for mobile phones and tablets are prone to manual errors, inefficiencies, and require significant human intervention, especially in the storage and retrieval of individual assets, and retrieval of individual assets, and retrieval of individual assets, leading to increased complexity and errors.
Innovation Solution
An automated guided vehicle (AGV) equipped with a controller, navigation module, a fork, and a robot, which includes a telescopic fork, cradle unit, and bin holders, is used to navigate through storage racks, identify and retrieve assets using AI and sensors, and transfer them between storage bins and locations without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sorting and retrieval of assets is used, then flexibility and adaptability are maintained, but productivity is low and errors increase
Solution Approach 1:
The AGV system performs self-navigation through the warehouse using sensors and navigation modules, autonomously traveling to storage locations without human operators. The robotic arm automatically picks and places assets, with the system managing its own routing and task execution, thereby eliminating manual sorting while maintaining high productivity
Solution Approach 2:
Manual mechanical operations are replaced with an automated robotic system featuring a robotic arm for asset handling, sensors for detection, and a navigation module for movement. This substitution eliminates human labor in picking and sorting while significantly improving productivity and reducing errors
2Loss of time
If bin level sorting is used, then walking distance is reduced, but more human involvement is necessary
Solution Approach 1:
The AGV system autonomously navigates to storage locations using its navigation module and sensors, independently completing the transport task without requiring operators to walk or manually guide the vehicle. The system manages its own routing and positioning, fully eliminating the need for human involvement in the physical transport process
3Productivity
If automated navigation vehicle with visual recognition is used, then sorting efficiency is improved, but device complexity increases
Solution Approach 1:
The AGV integrates multiple functions into a single autonomous system: navigation through the warehouse, visual recognition of storage locations and assets, robotic arm control for picking and placing, and task coordination. This multi-functionality consolidates what would otherwise require separate systems and human operators into one integrated platform, improving efficiency while managing complexity through unified control
Data Source
AI summary
An automated guided vehicle, AGV, (100) for moving around in an automated storage and retrieval system, ASRS, (200). The AGV (200) comprising: a first bin holder (40), for receiving a storage bin; a second bin holder (41), for receiving a storage bin; a bin transfer mechanism (42), which is configured to: i) transfer a storage bin between a storage rack and the first bin holder (40); and ii) transfer a storage bin between the first bin holder (40) and the second bin holder (41); and a robot (22) that is configured to: identify assets that are in a storage bin in the first bin holder (40) and identify assets that are in a storage bin in the second bin holder (41); and move assets between a storage bin that is in the first bin holder (40) and a storage bin that is in the second bin holder (41). Ref. FIG. 2