AGV Routing Updates Using Markers for Dynamic Warehouse Changes
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Solution Overview
Problem
Automated guided vehicles (AGVs) face inefficiencies due to the need for offline reprogramming when warehouse environments change or obstacles are introduced, leading to reduced productivity and efficiency.
Innovation Solution
A self-driving vehicle management system that allows for real-time adjustment of routing and task instructions using markers and cameras, enabling AGVs to adapt to changes in the environment without being taken offline, by detecting and updating formal instructions to accommodate changes in workspace layout and obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AGVs are taken offline for reprogramming when environment changes, then routing instructions can be updated to match new conditions, but productivity and efficiency are reduced due to operational interruptions
Solution Approach 1:
Markers are placed in advance at locations where environmental changes or obstacles may occur. These pre-placed markers contain updated routing instructions that AGVs can access without being taken offline, allowing the system to prepare for potential changes before they disrupt operations.
Solution Approach 2:
Physical markers serve as intermediaries between the control system and AGVs. Instead of directly reprogramming AGVs when environment changes occur, the system uses markers as intermediate carriers of routing information that AGVs can independently detect and follow, eliminating the need for offline reprogramming.
2Adaptability or versatility
If AGVs are taken offline for reprogramming when obstacles are introduced, then routing instructions can be updated to avoid obstacles, but efficiency is reduced due to operational interruptions
Solution Approach 1:
Markers are pre-placed at potential obstacle locations or alternative routing points before obstacles are introduced. When obstacles appear, AGVs can immediately detect these pre-positioned markers and switch to alternative routes without interruption, as the adaptive instructions were already in place.
Solution Approach 2:
Markers act as intermediaries that carry obstacle avoidance instructions. Rather than requiring direct communication between the control system and AGV for real-time obstacle response, the markers serve as intermediate information carriers that enable autonomous obstacle avoidance.
3Adaptability or versatility
If markers are placed temporarily to change routing instructions, then AGVs can adapt to workspace changes without reprogramming, but system complexity increases due to marker management
Solution Approach 1:
The system uses simple, inexpensive physical markers that can be quickly placed and removed as needed. These markers are temporary indicators rather than permanent system components, allowing flexible adaptation to workspace changes without investing in complex permanent infrastructure. The markers are discarded or relocated when no longer needed, keeping the system simple.
Solution Approach 2:
The system changes the state of the environment by adding or removing physical markers rather than changing software parameters or reprogramming AGVs. This physical parameter change approach simplifies the system by using tangible, easily modifiable objects instead of complex digital configuration systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables AGVs to dynamically adjust their operations to navigate changing environments and obstacles, enhancing productivity and efficiency by allowing continuous operation without the need for offline reprogramming.
Implementation Method 1
detecting and retrieving routing and task instructions from one or more markers using a camera coupled to the self-driving vehicle
Data Source
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AI summary
A self-driving vehicle management system and method configured to provide formal routing and task instructions to automated guided vehicles (AGVs). The system and method include providing any permanent or temporary change in the routing or task instructions without having to take the AGVs offline for reprogramming. The formal routing and task instructions, as well as any permanent or temporary changes in the routing or task instructions can be provided by an operator and/or one or more markers, such as bar codes.