Abstract
Manufacturers pallet loading problem (MPLP) aims to fit the maximum number of boxes into a fixed-size pallet capacity. Solving MPLP can be time-consuming due to its complexity, leading to the use of heuristic methods which may not produce optimal results. This paper proposes a pallet loading algorithm using reinforcement learning to find the optimal solution. Simulation results indicate that the proposed method utilizes the given pallet space more efficiently than the existing heuristic methods. In addition, we introduce a real-life automatic pallet loading system and demonstrate the effectiveness of the proposed algorithm.
Original language | English |
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Title of host publication | 2023 20th International Conference on Ubiquitous Robots, UR 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 115-118 |
Number of pages | 4 |
ISBN (Electronic) | 9798350335170 |
DOIs | |
Publication status | Published - 2023 |
Event | 20th International Conference on Ubiquitous Robots, UR 2023 - Honolulu, United States Duration: 2023 Jun 25 → 2023 Jun 28 |
Publication series
Name | 2023 20th International Conference on Ubiquitous Robots, UR 2023 |
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Conference
Conference | 20th International Conference on Ubiquitous Robots, UR 2023 |
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Country/Territory | United States |
City | Honolulu |
Period | 23/6/25 → 23/6/28 |
Bibliographical note
Funding Information:This work was supported by Seoul R&BD Program (CY220081).
Publisher Copyright:
© 2023 IEEE.
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Control and Optimization
- Modelling and Simulation