TY - GEN
T1 - Implementation of the Mathematical Model for Service Robot to Avoid Obstacles and Human
AU - Ngo, Ha Quang Thinh
AU - Tran, Anh Son
AU - Dong, Van Keo
AU - Yan, Jiwang
N1 - Funding Information:
Acknowledgments. This research is funded by Japan International Cooperation Agency Project for ASEAN University Network/Southeast Asia Engineering Education Development Network (JICA Project for AUN/SEED-Net) in the framework of Special Program For Research Against COVID-19 Japanese Fiscal Year 2020–2021 (SPRAC) with the support of time and facilities from Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for this study.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Medical application
KW - Motion control
KW - Navigation
KW - Service robot
KW - Social interaction
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U2 - 10.1007/978-3-030-89880-9_38
DO - 10.1007/978-3-030-89880-9_38
M3 - Conference contribution
AN - SCOPUS:85119887640
SN - 9783030898793
T3 - Lecture Notes in Networks and Systems
SP - 513
EP - 525
BT - Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th Future Technologies Conference, FTC 2021
Y2 - 28 October 2021 through 29 October 2021
ER -