Design of Home Care Robot Based on STM32

In order to reduce the work intensity of nursing staff and the risk of infection in nursing work, and further improve the quality of medical nursing, this paper proposes a design idea of nursing robot. On the basis of STM32 as the main control, the basic functions of the nursing robot are formulated, and the design modules of the system are determined. After the design of the main control chip, driver module, wireless communication module and other hardware is completed, the maximum inter-class variance algorithm is selected to complete the software design and recognition rate test of the image recognition module. The results show that the image recognition rate of the algorithm is slightly lower in the area where the features are not obvious. The results provide a basis for the system to develop human-computer interaction software and realize the operation and maintenance function of nursing robots combining manual and intelligence. At the same time, it also provides a reference for the design of nursing robots in related fields.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800493
Primary Topic
Robotics and Automated Systems
Type
article
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article

Design of Home Care Robot Based on STM32

Leyi Chen, Juan Zhang, Zhoulin Chang, Hanrui Cai
Robotics and Automated Systems
article

Design of Home Care Robot Based on STM32

Leyi Chen, Juan Zhang, Zhoulin Chang, Hanrui Cai
article en

Abstract

In order to reduce the work intensity of nursing staff and the risk of infection in nursing work, and further improve the quality of medical nursing, this paper proposes a design idea of nursing robot. On the basis of STM32 as the main control, the basic functions of the nursing robot are formulated, and the design modules of the system are determined. After the design of the main control chip, driver module, wireless communication module and other hardware is completed, the maximum inter-class variance algorithm is selected to complete the software design and recognition rate test of the image recognition module. The results show that the image recognition rate of the algorithm is slightly lower in the area where the features are not obvious. The results provide a basis for the system to develop human-computer interaction software and realize the operation and maintenance function of nursing robots combining manual and intelligence. At the same time, it also provides a reference for the design of nursing robots in related fields.

Openalex Percentile: Top 71%
Robotics and Automated Systems
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Design of Home Care Robot Based on STM32 — Leyi Chen, Juan Zhang, et al. · (2024) | TGRS Research Map | TGRS