• Title/Summary/Keyword: mechanical system

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The Study of Barista Robots Utilizing Collaborative Robotics and AI Technology (협동로봇과 AI 기술을 활용한 바리스타 로봇 연구)

  • Do Hyeong Kwon;Tae Myeong Ha;Jae Seong Lee;Yun Sang Jeong;Yeong Geon Kim;Hyeon Gak Kim;Seung Jun Song;Dae Gil O;Geonu Lee;Jae Won Jeong;Seungwoon Park;Chul-Hee Lee
    • 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.

  • https://doi.org/10.7839/ksfc.2024.21.3.036 인용 PDF