UAV Delivery Using GPS Drop-Off Zones for Address-Free Locations
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Solution Overview
Problem
Customers often face challenges in receiving product deliveries at locations other than their primary residence or workplace, especially when they are away from home or office, as existing delivery systems typically require a defined physical address.
Innovation Solution
A system utilizing unmanned aerial vehicles (UAVs) that processes orders for delivery to alternative locations, obtains GPS coordinates, determines a product drop-off zone, and transmits landing instructions to the UAV for autonomous delivery, allowing recipients to retrieve products from designated areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional delivery systems are used to deliver products to customers, then products can be delivered to defined physical addresses, but customers cannot receive deliveries at alternative locations when away from home or office
Solution Approach 1:
The patent transitions from ground-based delivery (2D surface movement) to aerial delivery using drones (3D spatial movement). This dimensional change enables delivery to locations that are inaccessible to traditional vehicles, such as remote areas, busy urban zones, or any GPS-coordinated position, thereby dramatically increasing delivery location flexibility while maintaining reliability through automated navigation and precision landing.
Solution Approach 2:
The system implements automated delivery where drones autonomously navigate to delivery locations using GPS coordinates and execute drop-off operations without human intervention. The drones self-manage navigation, positioning, and delivery execution, which enables flexible delivery to any location with GPS coverage while ensuring reliable delivery completion through automated error checking and recovery protocols.
2Ease of operation
If delivery is made to alternative locations without defined addresses, then customer convenience is improved, but the complexity of the delivery system increases
Solution Approach 1:
The patent replaces complex mechanical address-verification systems with GPS coordinate-based navigation. Instead of requiring physical address validation, building access protocols, or human courier judgment, the system uses satellite positioning and automated coordinate-to-location mapping. This substitution simplifies the customer interface (they only need to provide location coordinates) while managing system complexity through automated computational geometry and spatial algorithms.
Solution Approach 2:
The drone delivery system is designed to handle multiple delivery scenarios uniformly: residential addresses, commercial locations, remote areas, and alternative drop-off points all use the same GPS-coordinate-based delivery protocol. This universal approach increases customer convenience by treating all locations equally while managing complexity through a single standardized delivery algorithm rather than multiple location-specific procedures.
3Productivity
If unmanned aerial vehicles are used for delivery, then operational efficiency is improved by eliminating human operators, but the precision of locating and landing at specific drop-off zones must be enhanced
Solution Approach 1:
The system performs preliminary actions by pre-processing the delivery location data to identify and mark optimal drop-off zones before the drone arrives. GPS coordinates are converted to specific ground locations considering terrain, obstacles, and safety constraints. This preliminary zone identification enables the drone to execute precise landing operations efficiently, as it already knows the target coordinates and can navigate directly to the optimized drop-off point without last-minute adjustments.
Data Source
AI summary
In some embodiments, methods and systems are provided that provide for facilitating delivery, via unmanned aerial vehicles, of products ordered by a customer of a retailer to a customer-selected physical location of a person other than the customer.