Mobile Transport Robot Delivery System
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Solution Overview
Problem
Current delivery methods require substantial human involvement, leading to inefficiencies such as incorrect deliveries, demotivation, and high costs, especially during fluctuating demand periods, and are prone to human error and resource misallocation.
Innovation Solution
A system utilizing a mobile transport apparatus that deploys robots to delivery locations, allowing them to autonomously or semi-autonomously deliver items, with robots being loaded and unloaded at designated drop and pick-up locations, optimizing routes and reducing the need for extensive human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If human drivers and delivery personnel are used to transport and deliver items, then flexibility and adaptability in handling various delivery scenarios are improved, but labor costs, human error, and resource inefficiency increase
Solution Approach 1:
The delivery system is segmented into two distinct functional components: mobile transport apparatus for long-distance transportation and autonomous robots for local delivery. This segmentation allows each component to optimize for its specific function, with robots handling the labor-intensive last-mile delivery while mobile apparatus handles transportation, thereby improving overall resource efficiency while maintaining flexibility through coordinated operation.
Solution Approach 2:
Autonomous robots serve as intermediaries between the mobile transport apparatus and the final delivery location. The robots are transported to near the delivery location by the mobile apparatus, then independently complete the final delivery segment. This intermediary approach resolves the contradiction by enabling automated, efficient local delivery while using mobile apparatus only when needed for transportation.
2Reliability
If autonomous robots are deployed for delivery, then labor costs and human error are reduced, but the complexity of the delivery system increases
Solution Approach 1:
The system segments complexity by separating transportation functions (mobile apparatus) from delivery functions (autonomous robots). Each component has simplified, dedicated functionality rather than requiring a single complex system to perform all tasks. The mobile apparatus provides simple transport capability while robots provide autonomous navigation and delivery, with coordination managed through standardized interfaces.
Solution Approach 2:
The autonomous robots are designed as universal delivery units that can be deployed across multiple locations and delivery scenarios. A single robot design handles various item types, navigation environments, and delivery protocols, reducing the need for specialized equipment for each situation and thereby managing system complexity while maintaining high reliability.
3Device complexity
If a single mobile transport apparatus carries all items to the delivery location, then logistics are simplified, but travel time and energy consumption increase
Solution Approach 1:
The system extracts the time-consuming portion of the delivery process by separating long-distance transportation from local delivery. The mobile transport apparatus travels efficiently to a point near the delivery location, then the lightweight autonomous robots complete the final segment. This extraction allows the heavy apparatus to optimize for speed over distance while robots optimize for precision over short distances, reducing total delivery time.
Solution Approach 2:
The solution adds a spatial dimension to the delivery process by using multiple drop-off points along the route. Instead of traveling to the final destination and distributing items, the system establishes intermediate robot drop-off locations, allowing parallel delivery operations across different spatial zones and reducing overall travel time and energy consumption.
Data Source
AI summary
A method for delivering a plurality of items to a plurality of delivery locations uses a mobile transport vehicle to transport a plurality of delivery robots to a first robot drop location. The robots are released at the first robot drop location and travel to assigned, respective delivery locations, which are in the vicinity of the first robot drop location. After completing delivery, each of the robots may proceed to a first robot pick-up location which may be different from the first drop off location. The robots are collected by a mobile transport vehicle and are transported to a second robot drop off location. While being transported, the robots can be reloaded with items for delivery in the vicinity of the second drop off location. A system may include one or more such mobile transport vehicles and a plurality of such robots, under the control of a server.