The Design Model for Robotic Waitress

Abstract With the rapid development of traditional industries, intelligent robots have been widely used in hospitality industry. Although faces a positive trend and good market industry, it also problem that cannot effectively collect use user data field human–computer interaction. It not only affects interaction experience between users robots, but prevents companies from getting valuable feedback timely manner. In order for to utilize interactive information, robot entertainment is improved. This paper proposes establishes basic technical model called iRCXM. Combining iRCXM with decision tree classification algorithm excepted improve humans hospitality. designs based on algorithm. The divides into three sections, each corresponding different standard function. Using judge users’ current stage whether they can move next stage. When reaches final stage, proves has obtained experience. At same time, at stages, will provide strategies downward transformation so adjust existing problems addition, research developed system technology. Android. HTTP protocol Baidu Cloud AI API realize simple face recognition Sanbot-OpenSDK implement control, this verify feasibility model. samples were tested real environment customer was collected through semi-structured interviews. Finally, verified.