首页|Reports Outline Robotics Findings from Shanghai Jiao Tong University (Modeling and Experimental Validation of Anchoring Resistance of the Radial Expanding Capsule Robot In the Intestine)
Reports Outline Robotics Findings from Shanghai Jiao Tong University (Modeling and Experimental Validation of Anchoring Resistance of the Radial Expanding Capsule Robot In the Intestine)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Springer Nature
Current study results on Robotics have been published. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The anchoring performance of the radial expanding capsule robot (RECR) in the intestine is crucial to the accuracy of the examination. However, there is a lack of relevant research at present.” Financial support for this research came from National Facility for Translational Medicine(Shanghai) Open Project Fund. The news reporters obtained a quote from the research from Shanghai Jiao Tong University, “In this article, the anchoring resistance model of the radial expanding capsule robot (RECR) in the intestine is established by the theoretical analysis and verified by the experiment. Based on the anchoring resistance model, the optimization method to improve the anchoring performance of the RECR is proposed. Firstly, the biomechanical properties of the intestine in the expanding state are studied, and the longitudinal contour equation of the intestine is obtained. The anchoring resistance model of the RECR in the intestine is established by analyzing the mechanical characteristics between the capsule robot and the intestine. Then, an experimental platform is built, and the anchoring resistance of the testing dummy imitating the RECR with different radii and lengths in the intestine is tested by the platform. The experimental results verify the correctness of the anchoring resistance model. Finally, the expanding force model of a developed inchworm-like RECR is established by the kinematics and mechanical analysis. And combined with the anchoring resistance model, the anchoring performance of the inchworm-like RECR in the intestine is analyzed.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsShanghai Jiao Tong University
NETL
NSTL
Springer Nature
