| An Intelligent Delta Robot for Maze Solving with Deep Q-Learning | |
|---|---|
| 學年 | 109 |
| 學期 | 1 |
| 發表日期 | 2020-08-31 |
| 作品名稱 | An Intelligent Delta Robot for Maze Solving with Deep Q-Learning |
| 作品名稱（其他語言） | |
| 著者 | L.C. Jin; C.W. Wang; X.C. Shen; I-H. Li; L.W. Lee |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | 2020 International Conference on System Science and Engineering |
| 會議地點 | Taipei |
| 摘要 | This paper presents an intelligent delta robot for maze solving problem by using a deep Q-Learning. The intelligent delta robot can solve maze problem with an optimal path from a remote high-performance server. The MQTT technique is applied to build the communication between the delta robot and the serve in this paper. An experimental result presented here to show the effectiveness and usefulness for our presented intelligent delta robot. |
| 關鍵字 | Delta Robot;Deep Q-Learning;Maze Solving problem |
| 語言 | zh_TW |
| 收錄於 | |
| 會議性質 | 國內 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20200831~20200903 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121163 ) |
| SDGS | 產業創新與基礎設施 |
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