著者

関山 浩介

出版者

名古屋大学

巻号頁・発行日

1997

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博士論文

著者

関山 浩介 福田 敏男 松村 司郎 山田 康二

出版者

一般社団法人日本機械学会

雑誌

日本機械学會論文集. C編 (ISSN:03875024)

巻号頁・発行日

vol.63, no.605, pp.196-203, 1997-01-25

参考文献数

12

被引用文献数

2

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This paper deals with a modeling and controlling strategy for multirobot group behavior. While the distributed autonomous robot system has the advantage of flexibility, it also has difficulties in coordinating global system such that the designer expects. We present a methodology for the designing issue for group robotics. Self-organization is a natural principle in a dissipative system. Utilizing this principle, we present the top-down and bottom-up hybrid approach and a basic model for coordinating macro-scale group behavior as a framework for the self-organizing control of group behavior. Then we present the model of strategy formation in the system based on the opinion formation model. The analytical predicted group behavior is verified by simulation results. In particular, we realize self-organization of temporal behavior pattern in group-level cooperation.

著者

金 相鎬 関山 浩介 福田 敏男

出版者

一般社団法人日本機械学会

雑誌

日本機械学會論文集. C編 = Transactions of the Japan Society of Mechanical Engineers. C (ISSN:03875024)

巻号頁・発行日

vol.75, no.756, pp.2253-2258, 2009-08-25

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The poor operation for information systems such as car navigation systems may result in the visual workload. To reduce the visual workload produced by information systems and their use during vehicle operation, we propose a user-adaptive vehicle information interface with a reconfigured navigation sequence. We propose the information assistance interface which recommends a preferred content in short time without following the hierarchical steps because of the hierarchical structure of most car navigation systems. Our proposed user-adaptive interface consists of user modeling using a hidden Markov model (HMM) and symbol matching which is the reconfiguration of a navigation sequence. The interface learns a user's navigation patterns based on accumulated navigation sequences. The navigation sequence is reconfigured by the user model and a clue. The symbol matching is performed in compliance with the user's selection and the navigation sequence is recommended to the user. Experimental results showed that reconfiguring the navigation sequence and switches reduced navigation reaction time.