Paper
1 December 2023 Design of restaurant intelligent beverage service robot based on gesture control
Jianwen liu, Lisha Mo, Ruyue Gong, Yong Zhao, Hua Chen
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129401Q (2023) https://doi.org/10.1117/12.3010629
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
To mitigate the risk of transmitting dangerous bacteria and viruses in restaurant settings, this paper develops a restaurant intelligent beverage service robot with a low price but with good performance of gesture control. The robot is composed of a mechanical structure, a hardware system, and a software system. The first is the robot structure design, which includes the design of the beverage machine model and the design of the bottom wheel tray. Secondly, the hardware system includes the main controller, motor driver, visual camera, and sensor modules, and the ROS communication control system is used by a series of robot modules to communicate with each other to realize the restaurant area's autonomous path planning and accurate distribution of drinks. To address the issue of low gesture recognition rate in neural network algorithms, the system optimizes gesture frequency through cumulative recognition and judgment of software program calculation. This effectively reduces false recognition. Finally, through the ROS platform client experimental test, the robot motion control is stable and reliable, and the gesture recognition accuracy reaches 92.7%, which can meet the needs of the restaurant.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jianwen liu, Lisha Mo, Ruyue Gong, Yong Zhao, and Hua Chen "Design of restaurant intelligent beverage service robot based on gesture control", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129401Q (1 December 2023); https://doi.org/10.1117/12.3010629
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KEYWORDS
Gesture recognition

Design and modelling

Telecommunications

Data modeling

Control systems

Robotic systems

Education and training

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