Autonomous Ground Vehicle Delivery Coordination
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Solution Overview
Problem
The increasing frequency and volume of e-commerce deliveries have created a need for faster and more efficient delivery methods, as traditional human-controlled delivery systems are inadequate in handling the growing demand for timely and cost-effective item transportation.
Innovation Solution
The implementation of autonomous ground vehicles (AGVs) that can transport items to specified locations, coordinated by a management system that communicates with transportation vehicles and AGVs, allowing for efficient scheduling, tracking, and navigation, and can operate independently or with assistance from other autonomous vehicles like UAVs to overcome obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional human-controlled delivery systems are used, then delivery operations can be performed with simple technology, but delivery speed and efficiency are insufficient to handle growing e-commerce demand
Solution Approach 1:
The delivery system employs autonomous ground vehicles that perform delivery operations independently without human intervention. The AGV navigates, transports items, and completes delivery autonomously, enabling the system to handle increased delivery volume without proportionally increasing operational complexity
Solution Approach 2:
The patent replaces human-operated mechanical delivery systems with autonomous vehicles equipped with sensors, processors, and automated navigation. This substitution enables faster, more efficient delivery operations while managing complexity through integrated electronic control systems
2Productivity
If more delivery vehicles are deployed to handle increased volume, then delivery capacity increases, but traffic congestion and delivery time delays worsen
Solution Approach 1:
The autonomous ground vehicle incorporates sensors and communication systems that provide real-time feedback about traffic conditions, vehicle location, and delivery status. This feedback enables dynamic route adjustment and coordination with other AGVs, allowing the fleet to handle increased volume without proportional increases in delivery time
Solution Approach 2:
The delivery system uses dynamic routing where AGVs can adjust their paths in real-time based on traffic conditions and priorities. High-priority deliveries can be expedited while lower-priority items use alternative routes, enabling the system to maintain delivery speed even as volume increases
3Productivity
If autonomous ground vehicles are used for delivery, then delivery efficiency and speed are improved, but the system complexity and coordination requirements increase
Solution Approach 1:
The autonomous ground vehicle is designed as a multi-functional platform that can perform various delivery tasks, navigate different terrains, and interface with multiple systems (transportation vehicles, charging stations, pickup locations). This universality allows a single AGV design to handle diverse delivery scenarios, reducing overall system complexity despite the advanced capabilities required
Data Source
AI summary
Autonomous ground vehicles (“AGVs”) containing ordered items travel (e.g., from materials handling facilities, etc.) to pickup areas (e.g., on a street, in a parking lot, inside a store, etc.) where users may retrieve the ordered items from the AGVs. In various configurations, an AGV may have a single storage compartment or may have multiple storage compartments, and multiple AGVs may congregate at a pickup area which may include various facilities/services for the AGVs (e.g., a charging station, a common control station for the AGVs, etc.). Multiple AGVs at a pickup area may be arranged in a particular configuration (e.g., according to a particular order, stacked, etc.), and the configuration may be changed (e.g., when a new AGV arrives and/or when an AGV departs, such as after an ordered item is retrieved from an AGV which then leaves the pickup area to return to a materials handling facility, etc.).