A cell-based approach for evolutionary component repositories for intelligent service robots = 지능형서비스 로봇을 위한 셀 기반의 진화적인 컴포넌트 저장소

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Self-growing software is a software system that has the capability of evolving its functionalities and configurations by itself based on dynamically monitored situations. Self-growing software is especially necessary for intelligent service robots, which must have the capacity to monitor their surrounding environments and provide appropriate behaviors for human users. Intelligent service robots often face problems that cannot be resolved with the current conventional software technology. To support self-growing software for intelligent service robots, the SemBots project is developing a cell-based distributed repository system that allows robots and developers transparently to share robot functionalities. To accomplish the creation of evolutionary repositories, we invented the concept of a cell, which is a logical group of distributed repositories based upon the functionalities of components. In addition, it is also a unit for the evolutionary growth of the components within the repositories. In this thesis, we describe the requirements and architecture of the cell-based repository system for self-growing software. We also present a prototype implementation and experiment of the repository system. Through the cell-based repositories, we achieve improved performance of self-growing actions for robots and efficient sharing of components between robots and developers.
Advisors
Ko, In-Youngresearcher고인영researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2007
Identifier
392732/225023 / 020054543
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2007.2, [ vi, 55 p. ]

Keywords

Distributed Ontology Repositories; Self-growing Robot software; Intelligent Service Robot; Distributed Component Repositories; 분산 컴포넌트 저장소; 분산 온톨로지 저장소; 자가 성장 소프트웨어; 지능형 서비스 로봇

URI
http://hdl.handle.net/10203/55515
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392732&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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