• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.37-47
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• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.

• Journal of Drive and Control
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• v.21 no.3
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• pp.36-45
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• 2024

Collaborative robots, designed for direct interaction with humans have limited adaptability to environmental changes. This study addresses this limitation by implementing a barista robot system using AI technology. To overcome limitations of traditional collaborative robots, a model that applies a real-time object detection algorithm to a 6-degree-of-freedom robot arm to recognize and control the position of random cups is proposed. A coffee ordering application is developed, allowing users to place orders through the app, which the robot arm then automatically prepares. The system is connected to ROS via TCP/IP socket communication, performing various tasks through state transitions and gripper control. Experimental results confirmed that the barista robot could autonomously handle processes of ordering, preparing, and serving coffee.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.177-186
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• 2021

This paper aims to show that cooperative robots, which have only been used in manufacturing sites, are expanding their scope of use in daily living spaces due to the expansion of non-face-to-face services. By combining robots and IoT technologies in terms of diversifying services in daily life and customized service areas, it is expected that the general public will also have easy access to smart technologies, and these technologies will be used in more areas. The robot barista system will provide customers with the services they want, monitoring, maintenance, and management of the system, making this paper convenient for customers, as well as managers who run stores, maintenance and repair, and engineers who design the system. This paper attempts to demonstrate this through a structure called Robopresso.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.13-27
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• 2022

This study focused on the role of service robots as employees, and examined how robot services affect customer behavior compared to human employees in service success and failure situations. The three experiments were performed on barista robot, serving robot, and chef robot. The results of this study are as follows. First, in the case of service success, customers showed similar intentions for revisit regardless of employee type. On the other hand, in the case of service failure, the revisit intention was found to be more negative than that of the human employee when the service was received from the robot employee. The reason for this was found to be that customers had lower expectations for the capabilities of service robots compared to humans. Finally, customers perceive that robot services are more stable than human services.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.109-116
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• 2021

In this paper, we propose the educational model for a convergence minor by fusing culinary arts with robot technology to develop coding ability for the students in the culinary arts major which is not originally related to software field. It is meaningful that the educational model follows the trend along the development of the fourth industrial revolution technology and has the function to make the students who are not in software major grow as software experts. However there are difficulties in designing the convergence minor because the culinary arts major is distant to the robot technology in the view of technology. To overcome this difficulty the convergence minor is designed to attract the interest for the students in culinary arts major by construct educational subjects systematically such as cooking, dessert making, barista working, autonomous serving and so on based on robots. Also the practices in which various robots are utilized are included in the convergence minor to develop actual coding ability. By comparison to the other models of convergence minors, the proposed model shows enhanced educational effects in 20% than the others.