Research on Intelligent Robot Ordering System

• Main Authors: WEI, HONG-EN, 魏宏恩
• Other Authors: CHEN, MENG-ZHI
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/z8vfb3

碩士 === 南華大學 === 資訊管理學系 === 107 === 　　With the advancement of technology, the development of robots is rapidly emerging. In the past, traditional robots with single-function natures have been slowly replaced; intelligent multi-functional robots have been used in various fields. At present, the competition in the catering industry is becoming fiercer. In order to stand out from the competition, the service industry has become more sophisticated, with improved quality that requires more manpower. As such, this research hopes to provide a solution that can reduce the required manpower and save time through the development and design of an intelligent robot ordering system and sum up the service needs of the robot ordering system by analyzing the needs and problems of the subjects. 　　In the system aspect, the dialogue agent DDE is used to establish meal information and dialogue design. The ASP server accesses the data and sends the meal data to the backend for shop display. Finally, interaction, dialogue, and seat guidance functions are added through Zenbo SDK to establish a complete ordering system. 　　In the research aspect, the service-experience insight structure in the service-experience engineering method is adopted, and the five aspects of activity, environment, interaction, object, and user are observed and analyzed. aspects of interaction, culture, sequence, tool artifacts, and physical model are used to analyze the collected information from experience and insights to learn the potential needs of customers. The results of experience interviews and behavioral modeling are as follows: (1) establishing a simple operation process, (2) enriching the design of robotic statements, (3) increasing the authenticity and action richness of the robot, and (4) improving the robotic emergencies and speeds.