Full metadata record
DC FieldValueLanguage
dc.contributor.author黃信益en_US
dc.contributor.authorShin-Yi Huangen_US
dc.contributor.author宋開泰en_US
dc.contributor.authorKai-Tai Songen_US
dc.date.accessioned2014-12-12T02:31:38Z-
dc.date.available2014-12-12T02:31:38Z-
dc.date.issued2002en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT910591056en_US
dc.identifier.urihttp://hdl.handle.net/11536/71036-
dc.description.abstract本論文提出一個以行為模式作為基礎的導航架構,以模糊邏輯控制器作為整個導航架構中主要的設計方法。文中提出一個稱為超音波方向權重的觀念,可以讓我們用非常簡單且非常少的模糊控制規則就能設計出我們的導航架構,因此系統計算速度相當快。我們利用一個啟發性網路使所設計的超音波方向權重值,可以隨著環境的改變而有自行調整的能力。本論文藉由電腦模擬與機器人導航實驗的結果,來驗證我們所設計的導航架構確實有執行導航的能力。zh_TW
dc.description.abstractA home robot navigation system has been designed and implemented based on a behavior-based approach. In this thesis, we propose a concept of direction weight of robot environment sonar scanning. This concept facilitates the design of navigation system using fuzzy logic controller. Only a few fuzzy logic control rules are used in the navigation behavior design. The system has fast response in an unknown environment. Fuzzy–Kohonen Clustering Network (FKCN) is adopted for direction weight determination. In this method, the direction weight is adapted to the environment change. We will show both the computer simulation and experiment results to verify the navigation system has the capability of robot navigate.en_US
dc.language.isozh_TWen_US
dc.subject機器人zh_TW
dc.subject導航zh_TW
dc.subjectroboten_US
dc.subjectnavigationen_US
dc.subjectbehavior-baseden_US
dc.title基於行為模式之家用機器人導航設計zh_TW
dc.titleBehavior-Based Home Robot Navigation Designen_US
dc.typeThesisen_US
dc.contributor.department電控工程研究所zh_TW
Appears in Collections:Thesis