会津大学是首批入选日本文部科学省"超级国际化大学计划(Top Global University Project)"的大学之一。文章介绍大学的三个特色——国际化;IT的全领域专业齐全,分科细致;强调技术创新和学生创业。同时阐述相关的教育研究方向...会津大学是首批入选日本文部科学省"超级国际化大学计划(Top Global University Project)"的大学之一。文章介绍大学的三个特色——国际化;IT的全领域专业齐全,分科细致;强调技术创新和学生创业。同时阐述相关的教育研究方向,提出实现会津大学教育目标——"培养有能力活跃在世界各地的创新型IT领军技术人才"的方法、渠道和相应课程。展开更多
This study focuses on a robot vision localization method for coping with the operational task ofautomatic nasal swab sampling. The application is important in the detection and epidemic prevention of CoronaVirus Disea...This study focuses on a robot vision localization method for coping with the operational task ofautomatic nasal swab sampling. The application is important in the detection and epidemic prevention of CoronaVirus Disease 2019 (COVID-19) to alleviate the large-scale negative impact of individuals suffering from pneumoniaowing to COVID-19. In this method, the idea of a hierarchical decision network is used to consider the stronginfectious characteristics of the COVID-19, which is followed by processing the robot behavior constraint condition.The visual navigation and positioning method using a single-arm robot for sampling is also planned, whichconsiders the operation characteristics of medical staff. In the decision network, the risk factor for potentialcontact infection caused by swab sampling operations is established to avoid the spread among personnel. A robotvisual servo control with artificial intelligence characteristics is developed to achieve a stable and safe nasal swabsampling operation. Experiments demonstrate that the proposed method can achieve good vision positioning forthe robots and provide technical support for managing new major public health situations.展开更多
文摘会津大学是首批入选日本文部科学省"超级国际化大学计划(Top Global University Project)"的大学之一。文章介绍大学的三个特色——国际化;IT的全领域专业齐全,分科细致;强调技术创新和学生创业。同时阐述相关的教育研究方向,提出实现会津大学教育目标——"培养有能力活跃在世界各地的创新型IT领军技术人才"的方法、渠道和相应课程。
基金the Director Foundation of Guangxi Key Laboratory of Automatic Detection Technology and Instrument(No.YQ21110)。
文摘This study focuses on a robot vision localization method for coping with the operational task ofautomatic nasal swab sampling. The application is important in the detection and epidemic prevention of CoronaVirus Disease 2019 (COVID-19) to alleviate the large-scale negative impact of individuals suffering from pneumoniaowing to COVID-19. In this method, the idea of a hierarchical decision network is used to consider the stronginfectious characteristics of the COVID-19, which is followed by processing the robot behavior constraint condition.The visual navigation and positioning method using a single-arm robot for sampling is also planned, whichconsiders the operation characteristics of medical staff. In the decision network, the risk factor for potentialcontact infection caused by swab sampling operations is established to avoid the spread among personnel. A robotvisual servo control with artificial intelligence characteristics is developed to achieve a stable and safe nasal swabsampling operation. Experiments demonstrate that the proposed method can achieve good vision positioning forthe robots and provide technical support for managing new major public health situations.
