ABSTRACT
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportunity to researchers with different origins, backgrounds, and levels of seniority to quantitatively compare their ideas. In robotics, a hot and challenging topic is sim2real-porting approaches that work well in simulation to real robot hardware. In our case, creating a hybrid competition with both simulation and real robot components was also dictated by the uncertainties around travel and logistics in the post-COVID-19 world. Hence, this article motivates and describes an aerial sim2real robot competition that ran during the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, from the specification of the competition task, to the details of the software infrastructure supporting simulation and real-life experiments, to the approaches of the top-placed teams and the lessons learned by participants and organizers.
Subject(s)
COVID-19ABSTRACT
Background: Nationally, the indicators tracking the coronavirus pandemic has remained stable. However, it’s still a public health concern and it’s worth providing more front-line data on critical illness. We aim to investigate the clinical course and features of critical patients with Corona Virus Disease 2019 (COVID-19).Methods: The data on 124 consecutive critical patients from 8th February through April 16th 2020, including demographic and clinical information, were obtained from the intensive care unit (ICU) of Wuhan Huoshenshan Hospital. A cross-sectional survey and comparisons of key biomarkers between survivors and nonsurvivors were performed.Results: Over the study period, 57 nonsurvivors and 67 survivors were included. The overall case-fatality rate for critical patients with COVID-19 was approximately 46%. The overall average age was 69.89±11.03 years, and the majority had underlying health problems such as hypertension (63[51%]) and diabetes (27[22%]). Compared with survivors, nonsurvivors were more likely to develop sepsis (57[100%] vs. 34[51%]), acute respiratory distress syndrome (52[91%] vs. 21[38%]) and organ dysfunction. Besides, the dynamic changes in some biomarkers (i.e. WBC, TLC, CRP, PLT) were significantly different between the two groups. The trajectories of temperature revealed that the group with a high temperature on admission that steadily declined had the highest percentage of deaths (84.21%).Conclusions: The elderly with many concomitant diseases were at the highest risk. Lymphocyte, platelet, C-reactive protein and temperature were revealed to have potential as prognostic factors, whereas some other biomarkers, such as hepatic enzymes, may not offer additional information. Moreover, patients with high temperatures on admission should receive extra care.
Subject(s)
Respiratory Distress Syndrome , Diabetes Mellitus , Sepsis , Virus Diseases , Hypertension , COVID-19ABSTRACT
Background : The coronavirus pandemic has become a growing public health concern worldwide, and there are insufficient epidemiological data on critical illness. Objective: To investigate the clinical course and features of critical patients with Corona Virus Disease 2019 ( COVID-19 ). Methods: The data on 94 consecutive critical patients from 8 th February through 16 th March 2020, including demographic and clinical information, were obtained from the intensive care unit (ICU) of Wuhan Huoshenshan Hospital. A cross-sectional survey and comparisons of key biomarkers between survivors and nonsurvivors were performed. Results: Over the study period, 42 nonsurvivors and 52 survivors were included. The overall case fatality rate for critical patients with COVID-19 was approximately 45%. The average age was 69.17±9.55 years, and the majority had underlying health problems such as hypertension (56[60%]) and diabetes (18[19%]). The median length of ICU stay was 8 days (IQR 4, 13). Compared with survivors, nonsurvivors were more likely to develop sepsis (42[100%] vs. 34[65%]), acute respiratory distress syndrome (40[95%] vs. 28[54%]) and organ dysfunction. In addition, the dynamic changes in some biomarkers were significantly different between the two groups. The trajectories of temperature revealed that the group with a high temperature on admission that steadily declined had the highest percentage of deaths (93.33%). Conclusions: Patients aged 60 years or older with many concomitant diseases were at highest risk, and the fatality rate started to increase with age. Lymphocyte, platelet, C-reactive protein and hypersensitivity troponin I were revealed to have potential as prognostic factors, whereas some other biomarkers, such as hepatic enzymes, may not offer additional information. Moreover, patients with high temperatures on admission should receive extra care.
Subject(s)
Respiratory Distress Syndrome , Diabetes Mellitus , Sepsis , Virus Diseases , Drug Hypersensitivity , Hypertension , COVID-19ABSTRACT
Background and Aims: The coronavirus pandemic has become a growing public health concern worldwide, and there are insufficient epidemiological data on critical illness. We sought to investigate the clinical course and features of critical patients with Corona Virus Disease 2019 (COVID-19).Method: The data on 94 critical patients from 8th February through 16th March 2020, including demographic and clinical information, were obtained from the intensive care unit (ICU) of Wuhan Huoshenshan Hospital. A cross-sectional survey and comparisons of key biomarkers between survivors and nonsurvivors were performed.Results: Over the study period, 42 nonsurvivors and 52 survivors were included. The overall case fatality rate for critical patients with COVID-19 was approximately 45%. The average age was 69.17±9.55 years, and the majority had underlying health problems such as hypertension (56[60%]) and diabetes (18[19%]). The median length of ICU stay was 8 days (IQR 4, 13). Compared with survivors, nonsurvivors were more likely to develop sepsis (42[100%] vs. 34[65%]), acute respiratory distress syndrome (40[95%] vs. 28[54%]) and organ dysfunction. In addition, the dynamic changes in some biomarkers were significantly different between the two groups. The trajectories of temperature revealed that the group with a high temperature on admission that steadily declined had the highest percentage of deaths (93.33%).Conclusion: Patients aged 60 years or older with many concomitant diseases were at highest risk, and the fatality rate started to increase with age. Lymphocyte, platelet, C-reactive protein and hypersensitivity troponin I were revealed to have potential as prognostic factors, whereas some other biomarkers, such as hepatic enzymes, may not offer additional information. Moreover, patients with high temperatures on admission should receive extra care.