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自然語言處理應用於機器人導航

為了解決iPad Air 4 iOS 15 PT的問題，作者黃柏維 這樣論述：

當人們拜訪不熟悉的區域（例如大學校園）時，他們經常不知道如何去規劃一條經過多個景點的路徑。因此，如果有一個自然語言介面讓他們輸入多個目標位置，那麼會非常方便。本論文提出一個用於導航規劃的語音控制機器人的研究，利用機器學習和自然語言處理技術，來開發一個可以識別使用者話語中意圖的聊天機器人。此研究首先使用基於機器人作業系統的 Tutrlebot3-Burger，完成基本的機器人導航功能，然後再開發一個有類似功能的聊天機器人，在虛擬校園地圖上進行多點導航規劃。

應用擴增實境增進機電系統之預防性的維護作業

為了解決iPad Air 4 iOS 15 PT的問題，作者羅塔南 這樣論述：

Preventive maintenance for mechanical, electrical, and plumbing (MEP) systems is a complex task for facility managers since each system have different requirements and their tasks involve a huge amount of data regarding location and components, as well as historical inspection and operation data. D

espite the use of modern facility management systems, there are still limitations due to the lack of features required to enable data collection, data retrieval and on-site visualization. Moreover, it is necessary to establish an efficient maintenance strategy to keep building systems under a proper

service level and reduce the probability of failures.Because of this, building information modeling (BIM) has emerged as a platform to assist operational tasks by providing a digital model combining geometry and parametric information. However, BIM has limitations when accessing model information o

n-site. Also, the possibility to send and retrieve data in real time is limited. To overcome these limitations, emerging technologies like augmented reality (AR), combined with BIM, have been used in the operations and maintenance field providing access to information on-site.Therefore, an augmented

reality application for preventive maintenance of MEP systems is developed in this research. The aim of this augmented reality development is to aid facility engineers and personnel by providing a fully featured application needed to support the performance of their tasks efficiently and quickly. T

he system components and requirements are analysed to establish a preventive maintenance approach that combines predetermined and condition-based strategies. BIM model geometry is imported into an augmented reality game engine (Unity) to build the application. The user interface functions are develo

ped using C# scripts created in Visual Studio. In addition, the MEP systems information extracted from the BIM model is stored in a cloud database. The AR system is linked to this database, allowing for real-time data exchange.The augmented reality application is tested using the MEP systems of a un

iversity building where the functions developed improve operating tasks by overlaying a 3D model to enhance spatial analysis, highlighting an element selected by changing its color, retrieving parameters of the element selected, access to inspection and maintenance records, and automatically schedul

ing the next date for these tasks. It also provides a remote assistant with an instant chat connected to multiple users and presents a schedule with past, current, and future tasks that are updated in real time, as well as the possibility to report an unplanned activity or emergency. Because of thes

e functions, the current framework could improve facility managers and staff to perform their tasks related to the maintenance of MEP systems.