Publications by authors named "Guangpeng Jia"
In the field of robotic automation, achieving high position accuracy in robotic vision systems (RVSs) is a pivotal challenge that directly impacts the efficiency and effectiveness of industrial applications. This study introduces a comprehensive modeling approach that integrates kinematic and joint compliance factors to significantly enhance the position accuracy of a system. In the first place, we develop a unified kinematic model that effectively reduces the complexity and error accumulation associated with the calibration of robotic systems.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to assess how well the POSSUM and P-POSSUM scoring systems predict the risk of complications and death in elderly patients undergoing liver and pancreas surgeries.
- In a review of 274 patients, the predicted complication rates by POSSUM were somewhat accurate, with a prediction of 22.57% compared to an actual rate of 17.88%. However, the predicted mortality rate of 4.61% was significantly higher than the actual 1.09%.
- The findings suggest that while POSSUM effectively predicts complications, it tends to overestimate mortality risk in this patient group, with higher scores indicating more complications and deaths.