ISSN 0914-4935
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Cloud-based Dialog Navigation Agent System for Service Robots

Ching-Han Chen, Mu-Che Wu, and Chien-Chun Wang

(Received February 11, 2019; Accepted March 11, 2019)

Keywords: artificial intelligence, natural language processing, navigation, robotics and automation

The conventional human–robot interactions of robotic navigation systems must rely on strict language instructions and numerous button operations. In this study, a cloud-based dialog navigation agent (CDNA) system was designed for a campus navigation robot that provides navigation services for students, school visitors, and people with disabled vision. The CDNA is based on a lightweight belief–desire–intention software architecture (i.e., CellS, a cell-inspired efficient software framework), which is a goal-oriented and dynamic parallel framework. The proposed CDNA system has the following three primary functions: (1) conversational navigation service, (2) immediate path planning and path modification, and (3) location guide and place evaluation. The system can be applied to regional navigation guidance services such as campus tours. The CellS-based CDNA uses a natural language processing technology to analyze the semantics of user statements and uses dialog to eliminate ambiguity in language to improve interaction with users. In this study, 15 items for three different navigation systems were evaluated, demonstrating that the CDNA is advantageous in terms of interactivity and usability. The CellS-based CDNA can achieve an average speedup of 1.75 times in seven data sets. Therefore, the CDNA possesses the following advantages: high interactivity, high usability, and high performance.

Corresponding author: Mu-Che Wu




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