Hybrid Package Delivery with In-Transit Robot-to-Drone Handover
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Solution Overview
Problem
Current ecommerce and logistics delivery systems face challenges with regulatory, safety, and scalability issues due to reliance on fully automated self-driving vehicles, which are not yet viable, and existing robotic solutions are inefficient, costly, and impractical for large-scale package delivery.
Innovation Solution
A Hybrid Delivery System that integrates human and robotic labor, using a delivery truck with a Package Handling Robot to sort and load packages, and a last yard drone for final delivery, optimizing labor division for efficiency and accuracy, allowing for easy conversion of existing fleets and reducing manual labor demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If fully automated self-driving vehicles are used for delivery, then automation level is improved, but regulatory compliance and safety reliability deteriorate
Solution Approach 1:
The system implements partial automation where autonomous vehicles perform long-haul transportation, but human drivers take over for final delivery and complex urban navigation. This partial automation approach maintains high automation benefits while ensuring safety and regulatory compliance through human oversight in critical phases.
Solution Approach 2:
The delivery process is segmented into distinct phases: long-haul autonomous transportation, handover to human driver, and final delivery. Each segment is optimized independently, allowing autonomous vehicles to handle suitable portions while human drivers manage portions requiring higher safety assurance.
2Productivity
If robotic delivery systems are deployed, then productivity is improved, but system complexity and cost increase
Solution Approach 1:
The autonomous vehicles are designed as multi-functional platforms that can perform long-haul transportation, urban navigation, and final delivery operations. This universality reduces the need for separate specialized robotic systems for each delivery phase, thereby reducing overall system complexity while maintaining high productivity.
3Extent of automation
If customer waiting for robot delivery is required, then complete automation is achieved, but customer convenience and service quality deteriorate
Solution Approach 1:
The delivery process is segmented such that autonomous vehicles handle the long-haul portion, but human drivers complete the final delivery to customers. This segmentation eliminates the need for customers to wait for autonomous robots, maintaining high automation levels while ensuring human interaction for customer service.
4Extent of automation
If small compartment robots are used for delivery, then automation is achieved, but scalability and delivery capacity are limited
Solution Approach 1:
The system uses a hierarchical structure where large autonomous vehicles serve as parent containers that can carry multiple smaller delivery units or packages. This nesting approach allows the system to scale capacity by adding more nested units while maintaining autonomous operation, thereby improving both automation and scalability.
Data Source
AI summary
A hybrid integrated package delivery system is disclosed. A delivery vehicle has an open cargo area into which one or more cribs can be removably installed. The cribs are pre-loaded with packages. A package handling robot is installed within the vehicle, or within each crib, and can operate to transport packages from a crib to a delivery drone during transit of the vehicle to a delivery location. A delivery drone can be piloted by a delivery vehicle driver for last yard package delivery.