Electronic design and control of the waiter robot through deep learning
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ELCM04_094
تاریخ نمایه سازی: 30 شهریور 1400
Abstract:
With the industrialization of communities, restaurants are using new mechanisms from ordering to serving food, which leads to better performance, faster and easier service, less staff, and reduced costs, and other benefits. One of the mechanisms that have recently become very popular is the use of robots as waiters in the restaurant industry. In addition, these robots play an important role in an era when people should not be gathered in one environment due to the spread of the coronavirus. In fact, the purpose of designing such robots is to reduce manpower and minimize human contact to prevent the spread of the Coronavirus.In this research, first electrical circuits and boards will be designed to control the robot, then the robot will be controlled using the deep learning method and the Tensorflow toolbox and HMTRP board. In this way, the customer's arrival is recorded when entering the restaurant, using the camera and sent to the central system and the robot via the HMTRP board. The robot will then navigate and move to the table where their position will be defined.
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Authors
Majid Sokoot Jahromi
Civil Engineering, Chief Executive Officer (CEO) of Vara CO., Shiraz, Fars, Iran
Farzaneh Goli
Mechatronic Engineering, Robots and Mechatronic Systems Design, Tehran, Iran
Hamed Pourmohammadi Emamiyeh
Mechatronic Engineering, R & D Expert, Ashkarsazan Iranian CO., Tabriz, Iran
Mehrdad Azarnyad
Electronic Engineering, Power Systems, Chief Executive Officer (CEO) of KarAzma Sanat CO., Shiraz, Fars, Iran
Vahid Noei
Mechatronic Engineering, Robots and Mechatronic Systems Design, CANTROL CO.,London, UK