中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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A precise initial weld point guiding method of micro-gap weld based on structured light vision sensor 期刊论文  OAI收割
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 1, 页码: 322-331
作者:  
Fan JF(范俊峰);  Jing FS(景奉水);  Yang L(杨磊);  Long T(龙腾);  Tan M(谭民)
  |  收藏  |  浏览/下载:102/0  |  提交时间:2019/04/27
Vision-Based 3-D Grasping of 3-D Objects With a Simple 2-D Gripper 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 5, 页码: 605-620
作者:  
Liu, Chuankai;  Qiao, Hong;  Su, Jianhua;  Zhang, Peng
收藏  |  浏览/下载:42/0  |  提交时间:2015/08/12
Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文  OAI收割
2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China
Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly  and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore  it can trace the path steadily and reliably. 2008 IEEE.  the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory  during the change of the curve curvature radius is little  the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire  a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability