Autonomous Asset Loading With Delivery Bot Vehicle Integration
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Solution Overview
Problem
Existing asset delivery systems and vehicle technologies are static and limited in functionality, requiring extensive manual human intervention for loading and unloading assets, and lack autonomous components for moving assets to or from logistics vehicles to destination locations.
Innovation Solution
The integration of a logistics vehicle with asset loading components and a delivery bot, equipped with sensors for automatic guidance and a launch component that allows the delivery bot to traverse outside the vehicle, enabling autonomous movement and delivery of assets to or from storage units and delivery locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static shelving carts are used for asset storage in carrier vehicles, then the device complexity is reduced, but the productivity and automation capability deteriorate
Solution Approach 1:
The patent transforms static shelving carts into dynamic, motorized asset loading components that can automatically move assets. The asset loading components include motors and sensors that enable autonomous navigation and positioning, converting a passive storage system into an active, automated loading system that resolves the contradiction between simplicity and productivity.
Solution Approach 2:
The asset loading components are configured to automatically locate and load assets without human intervention. The system uses sensors to detect asset positions and autonomously navigates to retrieve and deliver assets to designated locations, enabling the system to serve itself and eliminating the need for manual labor while maintaining manageable complexity.
2Device complexity
If manual human intervention is used for asset loading operations, then the device complexity is reduced, but the loss of time and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical loading operations with an automated system that uses sensors for detection, motors for movement, and control systems for coordination. This substitution of human mechanical action with an integrated sensor-motor-control system eliminates time loss while managing complexity through systematic automation.
Solution Approach 2:
The asset loading components are equipped with sensors that provide real-time feedback on asset positions, component locations, and operational status. This feedback mechanism enables the system to automatically adjust its actions, optimize loading sequences, and reduce time loss through intelligent decision-making, balancing automation complexity with operational efficiency.
3Device complexity
If static loading devices are used, then the device complexity is reduced, but the adaptability and versatility deteriorate
Solution Approach 1:
The asset loading components are designed as multi-functional units that can perform various operations including asset detection, navigation, retrieval, and delivery to different locations within the vehicle. This universal design enables the system to handle diverse asset types and delivery scenarios, significantly improving adaptability while maintaining reasonable complexity through standardized component architecture.
Data Source
AI summary
An apparatus may automatically move one or more assets to or from one or more storage units to or from a delivery bot. The apparatus and the one or more storage units and the delivery bot may be stored in a logistics vehicle. The delivery bot may be configured to deliver or pick up the one or more assets to or from one or more delivery or pickup locations that are outside of the logistics vehicle.