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Design and Implementation of a QR-Enabled Autonomous Bartender Using a User-Friendly Interface

文献类型： 会议论文

第一作者： Joseph El Chartouni

作者： Joseph El Chartouni 1 ; Elio El Ghaoui 1 ; Gaby Abou Haidar 2 ; Roy Abi Zeid Daou 3 ;

作者机构： 1.Department of Mechatronics Engineering, La Sagesse University, Beyrouth, Lebanon

2.merican University of Science and Technology, Faculty of Engineering, Zahle, Lebanon

3.Department of Mechatronics and Biomedical Engineering, La Sagesse University, Beyrouth, Lebanon

关键词： Automation;Costs;Accuracy;Service robots;QR codes;Beverage industry;Time factors

会议名称： International Conference on Methods and Models in Automation and Robotics

主办单位：

页码： 35-40

摘要： The QR-Enabled Autonomous Bartender system introduces a pioneering approach to revolutionize beverage service within the hospitality sector. The Makr Shakr is a notable example of robotic bartending systems, renowned for its sleek design and advanced automation capabilities. However, existing works in this domain are often characterized by their high cost and lack of customization options, making them inaccessible to many establishments. The objective of this paper is to present the design, construction, and implementation of a stationary robotic bartender system enabled with QR code interaction, highlighting its potential to enhance customer experience and operational efficiency in bars and restaurants. The proposed system objectives encompass the design and construction of a stationary robotic bartender, the development of a user-friendly mobile website, the implementation of a personalized ordering system, and the optimization of beverage mixing and dispensing efficiency. Utilizing chrome and wood construction, this system balances durability with cost-effectiveness. The implementation of this initiative promises to advance automation and QR technology in the food and beverage industry, offering valuable insights into robotics, automation, and web development while enhancing customer experience and operational efficiency in bars and restaurants. As for validation, the system underwent rigorous testing, with a total of 210 trials resulting in 35 trials for each drink over a period of approximately 7 hours. Impressively, the system demonstrated an overall accuracy of $96.1 %$ with an average response time of 0.4 seconds.

分类号： tp2-53

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