| 講演抄録/キーワード |
| 講演名 |
2024-08-01 16:25
人間・ロボット間認知障壁の体系的解消への接近 ~ ロボットによる自然言語理解に焦点 ~ ○横田將生(福岡工大) CNR2024-6 |
| 抄録 |
(和) |
It is conventionally well known that today’s AI conversation systems do not understand natural language in the cognitive sense assumed by classical AI, which can lead to what is called human-robot cognitive divide here, namely, serious risk to interfere smooth human-robot interaction. This paper describes an approach to provide robots with human natural language understanding ability based on a mental image model in order to systematically remove such a risk assumable in future with some interim results so far. |
| (英) |
It is conventionally well known that today’s AI conversation systems do not understand natural language in the cognitive sense assumed by classical AI, which can lead to what is called human-robot cognitive divide here, namely, serious risk to interfere smooth human-robot interaction. This paper describes an approach to provide robots with human natural language understanding ability based on a mental image model in order to systematically remove such a risk assumable in future with some interim results so far. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
Human-robot interaction / Natural language understand / Mental image model / / / / / |
| 文献情報 |
信学技報, vol. 124, no. 143, CNR2024-6, pp. 28-33, 2024年8月. |
| 資料番号 |
CNR2024-6 |
| 発行日 |
2024-07-25 (CNR) |
| ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
CNR2024-6 |