Service Path Optimization of Hotel Food Delivery Robot Based on Ant Colony Algorithm
Authors: 
Guogang Zhao, Chenhao Li, Yajun Chen, Zelong Yin, Jinyan Zhou, Yang Jiao, Lianjun YuAuthors Info & Claims
Guogang Zhao, Chenhao Li, Yajun Chen, Zelong Yin, Jinyan Zhou, Yang Jiao, Lianjun YuAuthors Info & ClaimsPages 149 - 152
Abstract
Artificial Intelligence is currently in full swing, sweeping through many areas of our lives and production. This popular trend continues to strengthen, and there are many industries that are exploring convergence with the field of artificial intelligence. The hotel industry is profoundly affected by it, in order to solve the problem of saving human resources and enhancing the image of the hotel to attract customers to stay, many hotels have realized intelligence, using robots to complete the task of customer ordering as well as carrying out the transfer of items, to a certain extent, to protect the privacy of customers. In the case of large hotel specifications and the period of soaring customer traffic during holidays, how to make robots carry out activities more efficiently is an urgent problem to be solved. The ant colony algorithm shows good optimization ability in solving the VRP problem, and in this paper, the ant colony algorithm is improved and applied to the path selection of robots' activities in the hotel, so as to improve the customer experience. Verified by simulation examples, the method can better solve the hotel robot activity route planning problem, which has certain positive significance for the intelligent development of the hotel industry.
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Published In
April 2024
379 pages
ISBN:9798400709777
DOI:10.1145/3653644
Copyright © 2024 ACM.
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Association for Computing Machinery
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Published: 20 September 2024
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FAIML 2024
FAIML 2024: 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning
April 26 - 28, 2024
Yichang, China
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