Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment

This paper reports on the use of reinforcement learning technology for optimizing mobile robot paths in a warehouse environment with automated logistics. First, we compared the results of experiments conducted using two basic algorithms to identify the fundamentals required for planning the path of...

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Main Authors: HyeokSoo Lee, Jongpil Jeong
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/3/1209
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author HyeokSoo Lee
Jongpil Jeong
author_facet HyeokSoo Lee
Jongpil Jeong
author_sort HyeokSoo Lee
collection DOAJ
description This paper reports on the use of reinforcement learning technology for optimizing mobile robot paths in a warehouse environment with automated logistics. First, we compared the results of experiments conducted using two basic algorithms to identify the fundamentals required for planning the path of a mobile robot and utilizing reinforcement learning techniques for path optimization. The algorithms were tested using a path optimization simulation of a mobile robot in same experimental environment and conditions. Thereafter, we attempted to improve the previous experiment and conducted additional experiments to confirm the improvement. The experimental results helped us understand the characteristics and differences in the reinforcement learning algorithm. The findings of this study will facilitate our understanding of the basic concepts of reinforcement learning for further studies on more complex and realistic path optimization algorithm development.
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spelling doaj.art-e5a0c0e13c1840db96822d722bf691062023-12-03T15:03:31ZengMDPI AGApplied Sciences2076-34172021-01-01113120910.3390/app11031209Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse EnvironmentHyeokSoo Lee0Jongpil Jeong1Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaDepartment of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaThis paper reports on the use of reinforcement learning technology for optimizing mobile robot paths in a warehouse environment with automated logistics. First, we compared the results of experiments conducted using two basic algorithms to identify the fundamentals required for planning the path of a mobile robot and utilizing reinforcement learning techniques for path optimization. The algorithms were tested using a path optimization simulation of a mobile robot in same experimental environment and conditions. Thereafter, we attempted to improve the previous experiment and conducted additional experiments to confirm the improvement. The experimental results helped us understand the characteristics and differences in the reinforcement learning algorithm. The findings of this study will facilitate our understanding of the basic concepts of reinforcement learning for further studies on more complex and realistic path optimization algorithm development.https://www.mdpi.com/2076-3417/11/3/1209warehouse environmentmobile robot path optimizationreinforcement learning
spellingShingle HyeokSoo Lee
Jongpil Jeong
Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
Applied Sciences
warehouse environment
mobile robot path optimization
reinforcement learning
title Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
title_full Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
title_fullStr Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
title_full_unstemmed Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
title_short Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment
title_sort mobile robot path optimization technique based on reinforcement learning algorithm in warehouse environment
topic warehouse environment
mobile robot path optimization
reinforcement learning
url https://www.mdpi.com/2076-3417/11/3/1209
work_keys_str_mv AT hyeoksoolee mobilerobotpathoptimizationtechniquebasedonreinforcementlearningalgorithminwarehouseenvironment
AT jongpiljeong mobilerobotpathoptimizationtechniquebasedonreinforcementlearningalgorithminwarehouseenvironment