結合人類記憶概念的接待機器人; A Robot Receptionist Who Combines Human Intelligent Memory

NCUIR > College of Electrical Engineering & Computer Science > Executive Master of Electrical Engineering > Electronic Thesis & Dissertation > Item 987654321/9962

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/9962

Title:	結合人類記憶概念的接待機器人;A Robot Receptionist Who Combines Human Intelligent Memory
Authors:	陳熊偉;Hsiung-wei Chen
Contributors:	電機工程研究所碩士在職專班
Keywords:	接待機器人;reception robot
Date:	2009-07-09
Issue Date:	2009-09-22 12:01:57 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	針對現有的情感機器人，結合人類記憶的概念，建立一種新的互動模式，提供使用者能夠透過機器人提供的介面來查詢特定生活資訊。此查詢功能主要是藉由內建資料庫中的圖形與文字來提供使用者做查詢，讓查詢功能並非只是查詢，而是呈現更多元的答案。在資料的更新上，亦可自動上網更新特定消息。內建資料庫的主要優點即在於使用上，可以不必受到沒有網路連線時的限制，並可縮短網路上搜尋與分類資訊時所花費的時間。在整體的呈現上，是以情感機器人的排程器為基礎,並另外輔以語音的表達及劇情化的安排，使機器人在互動上,讓使用者有更親切的感覺。另外在本論文中，提出了人類智能記憶概念的論述，此論述將統計上的觀念與人類記憶概念作結合，提供了實際可行，且可運用到現有的查詢系統，一方面可縮短使用者重新搜尋與分類資訊時所花費的時間，一方面可以提供給未來的發展者作為參考之用。 The new interaction between the existing affective robot and users combined mankind’s intellectual memory concept, and tried to set up. It could provide users to search specific life information through the interface that the Affective Robot. The function of search is provided by figures and characters in the inside database. It is not only search but displayed many useful answers. In addition, it could update the new and special information by internet. The advantages of the inner database are the convenient use without network and shortened the time for searching and classifying information. The whole concept is mainly based on the scheduler of the affective robot and the expression of the pronunciation and story arrangement are auxiliary. These make the interaction between affective robot and user more cordial. Besides, we have proposed the concept of mankind's intellectual memory in this thesis. It combines with the concept of human mind and statistics. This is piratical and feasible to offer and apply to the existing system. We thought it could shorten user’s time on searching ,classifying information ,and provide information for development in future .
Appears in Collections:	[Executive Master of Electrical Engineering] Electronic Thesis & Dissertation

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