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

Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea
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Academic Editor: Marina Paolanti
Appl. Sci. 2021, 11(3), 1209; https://doi.org/10.3390/app11031209
Received: 30 December 2020 / Revised: 22 January 2021 / Accepted: 26 January 2021 / Published: 28 January 2021
(This article belongs to the Special Issue Application of Computer Science in Mobile Robots)
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. View Full-Text
Keywords: warehouse environment; mobile robot path optimization; reinforcement learning warehouse environment; mobile robot path optimization; reinforcement learning
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MDPI and ACS Style

Lee, H.; Jeong, J. Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment. Appl. Sci. 2021, 11, 1209. https://doi.org/10.3390/app11031209

AMA Style

Lee H, Jeong J. Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment. Applied Sciences. 2021; 11(3):1209. https://doi.org/10.3390/app11031209

Chicago/Turabian Style

Lee, HyeokSoo, and Jongpil Jeong. 2021. "Mobile Robot Path Optimization Technique Based on Reinforcement Learning Algorithm in Warehouse Environment" Applied Sciences 11, no. 3: 1209. https://doi.org/10.3390/app11031209

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