Multi-Tray Delivery Robot Routing for Prioritized Service Items
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Solution Overview
Problem
Existing electronic apparatuses, such as robots, face challenges in consistently and efficiently delivering service items to multiple customers, as current methods are insufficient for managing orders and prioritizing deliveries effectively.
Innovation Solution
An electronic apparatus with multiple trays and sensors that identifies service items based on sensing data, uses map information to determine optimal travel paths, and prioritizes deliveries based on service request time and item priority, allowing for efficient and timely delivery of service items to multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a small number of robots are used to deliver service items, then device complexity is reduced, but productivity decreases due to insufficient delivery capacity
Solution Approach 1:
The service item delivery system is segmented into multiple independent trays, each capable of carrying different service items. This allows a single robot to handle multiple delivery tasks simultaneously by organizing service items across different trays, thereby increasing delivery capacity without adding more robots.
Solution Approach 2:
The robot transitions from a two-dimensional movement pattern (single tray level) to a three-dimensional movement pattern by utilizing multiple trays at different heights. This vertical dimension expansion enables the robot to access and deliver from multiple trays without returning to a central point, significantly improving delivery efficiency and capacity.
2Device complexity
If multiple service items are delivered sequentially, then device complexity is reduced, but loss of time increases due to inefficient routing
Solution Approach 1:
The system performs preliminary actions by pre-planning the optimal travel path that visits multiple locations in sequence. The processor calculates the most efficient route beforehand, considering all delivery locations and their priorities, allowing the robot to execute the path without real-time decision delays, thus reducing total delivery time.
Solution Approach 2:
The travel path is made dynamic and adaptive based on service request time information. The system can adjust the delivery sequence and path in real-time according to changing priorities and time constraints, optimizing the delivery route to minimize time loss while managing multiple service items efficiently.
3Device complexity
If service items are delivered without prioritization, then device complexity is reduced, but loss of time increases due to delayed critical deliveries
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring service request time information and adjusting the delivery priority accordingly. The processor uses this feedback to dynamically reorder delivery tasks, ensuring that items with exceeding threshold times are delivered first, thus reducing the loss of time for critical deliveries while maintaining manageable system complexity.
Data Source
AI summary
An electronic apparatus includes a plurality of trays on which a plurality of service items are provided; a plurality of sensors respectively disposed above the plurality of trays; a memory configured to store map information of a specific space; and a processor configured to: identify a respective service item provided on each of the plurality of trays, based on sensing data received from the plurality of sensors, based on a result of the identifying and the map information stored in the memory, identify a travel path to sequentially deliver each of the plurality of service items that are identified to a plurality of locations corresponding to the specific space, and control travel of the electronic apparatus, based on the travel path.