Delivery Robot Routing With Temperature-Controlled Loading Spaces
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Solution Overview
Problem
Robots delivering articles outdoors face challenges in efficiently using battery power and determining optimal routes, while also needing to maintain the integrity of temperature-sensitive items like food during delivery.
Innovation Solution
A robot system that determines delivery routes based on the type and temperature requirements of loaded articles, using a controller to regulate temperature and optimize power usage, including identification, measurement, and temperature regulation of articles while moving, to ensure efficient delivery and preserve the state of sensitive items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot delivers multiple articles to multiple destinations, then the delivery service coverage increases, but the battery power consumption increases and delivery route optimization becomes complex
Solution Approach 1:
The robot divides the delivery task into multiple segments, each corresponding to a specific article and its destination. The controller separately manages delivery routes, temperature requirements, and battery consumption for each article type, allowing optimized routing decisions that balance service coverage with energy efficiency
Solution Approach 2:
The controller dynamically adjusts delivery parameters including route selection, travel speed, and temperature regulation intensity based on article properties and battery status. This enables flexible optimization of the delivery process to minimize power consumption while maintaining required service levels
2Adaptability or versatility
If the robot delivers articles that are sensitive to temperature change, then the service capability for diverse articles is improved, but the complexity of temperature regulation increases
Solution Approach 1:
The robot provides customized temperature regulation for different loading spaces based on the specific requirements of each article type. Each loading space can be independently controlled to maintain appropriate temperature conditions, allowing diverse article handling without requiring complex centralized control
Solution Approach 2:
The controller pre-regulates the temperature of loading spaces based on the type of article to be delivered before the delivery journey begins. This preliminary temperature adjustment ensures articles are delivered in optimal condition without requiring complex real-time temperature management during transit
3Use of energy by moving object
If the robot determines optimal delivery routes, then the battery efficiency is improved, but the computational complexity of route determination increases
Solution Approach 1:
The controller adjusts route parameters dynamically based on battery charge levels and delivery requirements. When battery power is sufficient, more complex route optimizations can be performed; when power is limited, simpler routing strategies are applied, balancing computational complexity with energy efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves battery efficiency, determines optimal delivery routes, and effectively maintains the original state of temperature-sensitive articles, such as food, during outdoor delivery.
Implementation Method 1
a temperature regulator configured to heat or cool the one or more loading spaces
Implementation Method 2
a temperature regulator configured to heat or cool the one or more loading spaces
Implementation Method 3
a measurer configured to measure temperature of each of the one or more articles
Data Source
AI summary
Disclosed are a robot and a method for delivering articles by the robot. A robot, according to an embodiment of the present disclosure, includes: one or more loading spaces configured to load articles; a travel driver configured to move the robot; an input interface configured to obtain identification information of the articles; a measurer configured to measure temperature of each of the articles; a temperature regulator configured to heat or cool the loading spaces; and a controller configured to determine a type of each of the articles from the identification information, determine a delivery route based on the determined type of article, and control the temperature regulator based on the measured temperature while controlling the travel driver such that the robot moves along the determined delivery route. Examples of the present disclosure are implemented by executing a machine learning algorithm in a 5G environment connected for Internet of things (IoT).