The Motion Planning of a Six DOF Manipulator Based on ROS Platform
文献类型:期刊论文
作者 | Meng, Shaonan1,2; Liang, Yanbing2; Shi, Heng1,2; Shi, Heng(师恒)![]() |
刊名 | shanghai jiaotong daxue xuebao/journal of shanghai jiaotong university
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出版日期 | 2016-07-01 |
卷号 | 50页码:94-97 |
ISSN号 | 10062467 |
其他题名 | 基于ros平台的六自由度机械臂运动规划 |
产权排序 | 1 |
英文摘要 | to establish the six dof manipulator model in the solidworks and get a simplified model with the sw2urdf plugin. using moveit! setup assistant makes it easy to configure the manipulator for motion planning based on ros. we can accomplish the motion planning in rviz with motionplanning plugin based on ompl which consists of many sampling-based motion planning algorithms and analyse the kpiece algorithm that is specifically designed for systems with complex dynamic. considering the manipulator's motion planning in complex environment, using ros-based 3d model can realize the virtual control and get a set of joint information about position, speed, effort and so on, so we can make more analysis and improvement about the motion planning algorithms. © 2016, shanghai jiao tong university press. all right reserved. |
收录类别 | EI |
语种 | 中文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28871] ![]() |
专题 | 西安光学精密机械研究所_光电测量技术实验室 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100049, China 2.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China |
推荐引用方式 GB/T 7714 | Meng, Shaonan,Liang, Yanbing,Shi, Heng,et al. The Motion Planning of a Six DOF Manipulator Based on ROS Platform[J]. shanghai jiaotong daxue xuebao/journal of shanghai jiaotong university,2016,50:94-97. |
APA | Meng, Shaonan,Liang, Yanbing,Shi, Heng,&Shi, Heng.(2016).The Motion Planning of a Six DOF Manipulator Based on ROS Platform.shanghai jiaotong daxue xuebao/journal of shanghai jiaotong university,50,94-97. |
MLA | Meng, Shaonan,et al."The Motion Planning of a Six DOF Manipulator Based on ROS Platform".shanghai jiaotong daxue xuebao/journal of shanghai jiaotong university 50(2016):94-97. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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