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      • Formation Control of Mobile Robots with Obstacle Avoidance

        Tatsuya Miyazaki,Kiyotsugu Takaba 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

        This paper deals with a formation control problem of nonholonomic mobile robots with obstacle avoidance. It is known that the mobile robots can achieve an arbitrary formation asymptotically by using virtual structures of the robots. However, in the presence of some obstacles, the real robots may not be able to avoid them even if the corresponding virtual robots can avoid. In this paper, we improve the virtual structure approach in order to remedy this difficulty. The proposed formation control law for each robot incorporates a potential function of the distance between the robot and obstacles, and takes trade-off between the formation maintainance and the obstacle avoidance by adaptive control switching. The effectiveness of the proposed method is verified by a numerical simulation.

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        Combination of a SARS-CoV-2 IgG Assay and RT-PCR for Improved COVID-19 Diagnosis

        Aoki Kotaro,Takai Kunitomo,Nagasawa Tatsuya,Kashiwagi Katsuhito,Mori Nobuaki,Matsubayashi Keiji,Satake Masahiro,Tanaka Ippei,Kodama Nanae,Shimodaira Takahiro,Ishii Yoshikazu,Miyazaki Taito,Ishii Toshi 대한진단검사의학회 2021 Annals of Laboratory Medicine Vol.41 No.6

        Background: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is generally diagnosed by reverse transcription (RT)-PCR or serological assays. The SARS-CoV-2 viral load decreases a few days after symptom onset. Thus, the RT-PCR sensitivity peaks at three days after symptom onset (approximately 80%). We evaluated the performance of the ARCHITECT® SARS-CoV-2 IgG assay (henceforth termed IgG assay; Abbott Laboratories, Lake County, IL, USA), and the combination of RT-PCR and the IgG assay for COVID-19 diagnosis. Methods: In this retrospective study, 206 samples from 70 COVID-19 cases at two hospitals in Tokyo that were positive using RT-PCR were used to analyze the diagnostic sensitivity. RT-PCR-negative (N=166), COVID-19-unrelated (N=418), and Japanese Red Cross Society (N=100) samples were used to evaluate specificity. Results: Sensitivity increased daily after symptom onset and exceeded 84.4% after 10 days. Specificity ranged from 98.2% to 100% for samples from the three case groups. Seroconversion was confirmed from 9 to 20 days after symptom onset in 18 out of 32 COVID-19 cases with multiple samples and from another case with a positive result in the IgG assay for the first available sample. Conclusions: The combination of RT-PCR and IgG assay improves the robustness of laboratory diagnostics by compensating for the limitations of each method.

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