| Presentation | 2023-03-24 A study of reinforcemtent learning-based AGV route scheduling using local graph information Hirotada Sugimoto, Shaswot Shresthamali, Masaaki Kondo, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a reinforcement learning-based route planning method for multiple AGVs. The proposed scheduling method uses a local graphs stricture that provide information on the actions and routes among AGVs, and also uses node information extracted only within the scope where each AGV can act in order to reduce the input dimension. We found that the proposed method can improve the throughput of task processing in a realistic problem setting compared with the case that uses entire graph information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep reinforcement learning / AGV |
| Paper # | CPSY2022-49,DC2022-108 |
| Date of Issue | 2023-03-16 (CPSY, DC) |
| Conference Information | |
| Committee | DC / CPSY / IPSJ-SLDM / IPSJ-EMB / IPSJ-ARC |
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| Conference Date | 2023/3/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Amagi Town Disaster Prevention Center (Tokunoshima) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tatsuhiro Tsuchiya(Osaka Univ.) / Michihiro Koibuchi(NII) / Hiroyuki Ochi(Ritsumeikan Univ.) / / Hiroshi Inoue(Nagoya Institute of Technology) |
| Vice Chair | Toshinori Hosokawa(Nihon Univ.) / Kota Nakajima(Fujitsu Lab.) / Tomoaki Tsumura(Nagoya Inst. of Tech.) |
| Secretary | Toshinori Hosokawa(Nihon Univ.) / Kota Nakajima(Chiba Univ.) / Tomoaki Tsumura(JAIST) / (Hitachi) / (Tokyo Inst. of Tech.) / (Meiji Univ.) |
| Assistant | / Ryohei Kobayashi(Tsukuba Univ.) / Takaaki Miyajima(Meiji Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Dependable Computing / Technical Committee on Computer Systems / Special Interest Group on System and LSI Design Methodology / Special Interest Group on Embedded Systems / Special Interest Group on System Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of reinforcemtent learning-based AGV route scheduling using local graph information |
| Sub Title (in English) | |
| Keyword(1) | Deep reinforcement learning |
| Keyword(2) | AGV |
| 1st Author's Name | Hirotada Sugimoto |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Shaswot Shresthamali |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Masaaki Kondo |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2023-03-24 |
| Paper # | CPSY2022-49,DC2022-108 |
| Volume (vol) | vol.122 |
| Number (no) | CPSY-451,DC-452 |
| Page | pp.pp.89-94(CPSY), pp.89-94(DC), |
| #Pages | 6 |
| Date of Issue | 2023-03-16 (CPSY, DC) |