Modular Autonomous Ground Vehicles for E-Commerce Delivery
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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-driven 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 from materials handling facilities to specified locations, utilizing transportation vehicles for deployment and navigation, and a management system to coordinate their activities, including scheduling, tracking, and navigation, allowing for efficient item delivery without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional human-driven delivery systems are used, then delivery operations can be performed with simple vehicle structure, but delivery speed and efficiency are insufficient to handle growing e-commerce demand
Solution Approach 1:
The delivery vehicle is equipped with autonomous navigation capabilities including sensors, processors, and control systems that enable the vehicle to navigate, avoid obstacles, and deliver items without human intervention. The vehicle autonomously receives items from storage facilities and navigates to delivery locations, eliminating the need for human drivers and significantly improving delivery efficiency
Solution Approach 2:
The delivery vehicle is designed as a multi-functional system that can perform multiple operations: autonomous navigation, obstacle detection and avoidance, item storage and handling, communication with facilities and users, and energy management. This universal design allows a single vehicle to handle various delivery scenarios and conditions
2Speed
If human-driven delivery is used, then operational simplicity is maintained, but delivery time and response speed cannot meet increasing customer demands
Solution Approach 1:
The patent replaces the mechanical human driving system with an autonomous navigation system that uses sensors (cameras, LIDAR, GPS), processors, and control algorithms to navigate the vehicle. This substitution enables faster response times and continuous operation without human limitations, significantly improving delivery speed
Solution Approach 2:
The autonomous navigation system acts as an intermediary between the vehicle's propulsion system and the external environment. It processes sensor data, makes navigation decisions, and controls vehicle operations, enabling the vehicle to operate autonomously at high speeds while safely navigating complex delivery environments
3Adaptability or versatility
If modular vehicle design with separable storage compartments is implemented, then delivery flexibility and adaptability are improved, but vehicle structural complexity increases
Solution Approach 1:
The delivery vehicle is divided into separable components including a propulsion module and storage compartments that can be coupled and decoupled. This segmentation allows the vehicle to be configured differently for various delivery needs, such as attaching multiple storage compartments or adjusting capacity, thereby improving delivery flexibility and adaptability
Solution Approach 2:
The vehicle employs dynamic coupling mechanisms that allow storage compartments to be easily attached and detached during operations. This dynamic design enables the vehicle to adapt its configuration in real-time based on delivery requirements, such as adding compartments for additional items or removing them for access, enhancing operational versatility
4Reliability
If autonomous navigation and obstacle avoidance systems are added, then delivery reliability and safety are improved, but system complexity and manufacturing cost increase
Solution Approach 1:
The autonomous navigation system incorporates continuous feedback loops where sensors monitor the environment, the processor analyzes data, and the control system adjusts vehicle operations in real-time. This feedback mechanism enables reliable obstacle detection and avoidance, ensuring safe and successful deliveries while maintaining systematic complexity through intelligent control algorithms
Data Source
AI summary
Autonomous ground vehicles (“AGVs”) are utilized to transport items to delivery locations and may be modular in that a storage compartment portion (e.g., which may hold an ordered item) may be removable (i.e., separable) from a propulsion portion. In various implementations, the storage compartment portion may be securely attached to the propulsion portion during transport (e.g., requiring an access code to remove and/or open), and the storage compartment portion may similarly be securely attached to the delivery location (e.g., at a docking station) when delivered. In various implementations, the storage compartment portion may be refrigerated, heated, etc., and may include various sensors on the inside and outside of the storage compartment portion (e.g., temperature sensors, motion sensors, image sensors to determine the presence and condition of items and/or to assist with navigation and other operations of the propulsion portion, etc.).