中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
DOREP: An educational experiment platform for robot control based on MATLAB and the real-time controller

文献类型:会议论文

作者Li QX(李庆鑫)2,3; Liu, Guanghui1,3; Han B(韩冰)2,3; Wang, Shuai1; Zhang HL(张华良)2,3
出版日期2019
会议日期August 8-11, 2019
会议地点Shenyang, China
关键词Robot control Experiment Platform MATLAB/Simulink
页码555-565
英文摘要The Deep Open Robot Experiment Platform (DOREP) is an experimental system for robot universal control, developed to offer an intuitive and high-level programming interface to the user. It includes a robotic toolbox, a Linux-based real-time controller and corresponding environment deployment tools. It is more open and more comprehensive than other toolboxes. The toolbox includes more than 30 functions, spanning operations such as forward and inverse kinematics computation, point-to-point joint and Cartesian control, trajectory generation, graphical display, 3-D animation and diagnostics. The DOREP which is compatible with many varieties of 6 DOF small and low payload universal robots that include ROKAE robots, Universal robots, ABB robots, AUBO robots and so on, runs on a remote computer connected with the robot controller via TCP/IP. © Springer Nature Switzerland AG 2019.
产权排序1
会议录Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
会议录出版者Springer Verlag
会议录出版地Berlin
语种英语
ISSN号0302-9743
ISBN号978-3-030-27528-0
源URL[http://ir.sia.cn/handle/173321/25496]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Liu, Guanghui
作者单位1.Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.Key Laboratory of Industrial Control Network and System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Li QX,Liu, Guanghui,Han B,et al. DOREP: An educational experiment platform for robot control based on MATLAB and the real-time controller[C]. 见:. Shenyang, China. August 8-11, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

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