Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory
Autonomous mobile robots (AMRs) are gaining popularity in various applications such as logistics, manufacturing, and healthcare. One of the key challenges in deploying AMR is estimating their travel time accurately, which is crucial for efficient operation and planning. In this article, we propose a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/7/1723 |
| _version_ | 1797607396880678912 |
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| author | Alexandru Matei Stefan-Alexandru Precup Dragos Circa Arpad Gellert Constantin-Bala Zamfirescu |
| author_facet | Alexandru Matei Stefan-Alexandru Precup Dragos Circa Arpad Gellert Constantin-Bala Zamfirescu |
| author_sort | Alexandru Matei |
| collection | DOAJ |
| description | Autonomous mobile robots (AMRs) are gaining popularity in various applications such as logistics, manufacturing, and healthcare. One of the key challenges in deploying AMR is estimating their travel time accurately, which is crucial for efficient operation and planning. In this article, we propose a novel approach for estimating travel time for AMR using Long Short-Term Memory (LSTM) networks. Our approach involves training the network using synthetic data generated in a simulation environment using a digital twin of the AMR, which is a virtual representation of the physical robot. The results show that the proposed solution improves the travel time estimation when compared to a baseline, traditional mathematical model. While the baseline method has an error of 6.12%, the LSTM approach has only 2.13%. |
| first_indexed | 2024-03-11T05:30:28Z |
| format | Article |
| id | doaj.art-343ba5cc20ee411880864a4bcd570ab9 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T05:30:28Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-343ba5cc20ee411880864a4bcd570ab92023-11-17T17:09:49ZengMDPI AGMathematics2227-73902023-04-01117172310.3390/math11071723Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term MemoryAlexandru Matei0Stefan-Alexandru Precup1Dragos Circa2Arpad Gellert3Constantin-Bala Zamfirescu4Computer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550025 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550025 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550025 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550025 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550025 Sibiu, RomaniaAutonomous mobile robots (AMRs) are gaining popularity in various applications such as logistics, manufacturing, and healthcare. One of the key challenges in deploying AMR is estimating their travel time accurately, which is crucial for efficient operation and planning. In this article, we propose a novel approach for estimating travel time for AMR using Long Short-Term Memory (LSTM) networks. Our approach involves training the network using synthetic data generated in a simulation environment using a digital twin of the AMR, which is a virtual representation of the physical robot. The results show that the proposed solution improves the travel time estimation when compared to a baseline, traditional mathematical model. While the baseline method has an error of 6.12%, the LSTM approach has only 2.13%.https://www.mdpi.com/2227-7390/11/7/1723travel time estimationdigital twinsimulationLSTMAMR |
| spellingShingle | Alexandru Matei Stefan-Alexandru Precup Dragos Circa Arpad Gellert Constantin-Bala Zamfirescu Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory Mathematics travel time estimation digital twin simulation LSTM AMR |
| title | Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory |
| title_full | Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory |
| title_fullStr | Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory |
| title_full_unstemmed | Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory |
| title_short | Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory |
| title_sort | estimating travel time for autonomous mobile robots through long short term memory |
| topic | travel time estimation digital twin simulation LSTM AMR |
| url | https://www.mdpi.com/2227-7390/11/7/1723 |
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