Implementation of the Mathematical Model for Service Robot to Avoid Obstacles and Human

Ha Quang Thinh Ngo, Anh Son Tran, Van Keo Dong, Jiwang Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In the scenario of COVID-19, the social interaction is limited and distancing. It causes several drawbacks such as decreasing the social constraints among relations and growing the troublesomeness of daily activities. However, this way helps to isolate the infectious disease as well as reduce the number of patients. To overcome these troubles, the service robot plays an excellent solution in this circumstance. Instead of servants, robot could carry the heavy cargo, continuously operate with numerous orders and do not hesitate the hazardous environment. Especially, it can not be affected by the infected disease and ease to disinfect by various chemicals. Therefore, in this paper, an interactive model for the autonomous robot in the healthcare service is proposed. Firstly, several coefficients related to interaction are denoted for the clarification and initial establishment. Later, a model of working space for human that interact with others, is suggested. These zones are categorized based on the needs of socially collaboration and comfortably communication in reality. In our research, the autonomous robot must work in the medical area where both patients and nurses stay. Hence, the missions of robot are not only to avoid obstacles but also cleverly manipulate in the crowd. Owing to this model, the service robot could behave intelligently, perceptively and safely. To validate the our work, the fully interactive model is simulated in the pre-determined situations. The robot must obey the desired commands while the medical constraints are still preserved. From these test results, it could be easily seen that our approach such the interactive model of robot is effective, feasible and reasonable for the healthcare service to prevent the infectious disease in the period of global pandemic.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference (FTC) 2021, Volume 2
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Print)9783030898793
Publication statusPublished - 2022
Event6th Future Technologies Conference, FTC 2021 - Virtual, Online
Duration: 2021 Oct 282021 Oct 29

Publication series

NameLecture Notes in Networks and Systems
Volume359 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference6th Future Technologies Conference, FTC 2021
CityVirtual, Online


  • Medical application
  • Motion control
  • Navigation
  • Service robot
  • Social interaction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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