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Doctor of Philosophy（Information Science） >
R07) (Jun.2025 - Mar.2026 >
Please use this identifier to cite or link to this item:
https://hdl.handle.net/10119/20593
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| Title: | 軌道走行型パトロールロボットシステムの速度制御とSim-to-Real展開のための説明可能な深層強化学習フレームワーク |
| Authors: | 李, 鎬先 |
| Authors(alternative): | い, ほせん |
| Keywords: | Rail-guided patrol robot
Adaptive speed control
Deep reinforcement learning (DRL)
DDPG-based robot control
Simulation-to-real transfer
CycleGAN-based domain adaptation
Explainable artificial intelligence (XAI)
Grad-CAM visualization
Facility monitoring automation
Disaster assessment |
| Issue Date: | Mar-2026 |
| Description: | Supervisor: 丁 洛榮
先端科学技術研究科
博士 |
| Title(English): | An Explainable Deep Reinforcement Learning Framework for Patrol Speed Control and Sim-to-Real Deployment of Rail-Guided Robot System |
| Authors(English): | HOSUN, LEE |
| Language: | eng |
| URI: | https://hdl.handle.net/10119/20593 |
| Academic Degrees and number: | 甲第1632号 |
| Degree-granting date: | 2026-03-25 |
| Degree name: | 博士 (情報科学) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-IS. 2025年度(R07) (Jun.2025 - Mar.2026)
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Files in This Item:
| File |
Description |
Size | Format |
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| abstract.pdf | 要旨 | 50Kb | Adobe PDF | View/Open | | paper.pdf | 本文 | 44309Kb | Adobe PDF | View/Open | | summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 316Kb | Adobe PDF | View/Open |
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