中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A modified cartesian space DMPs model for robot motion generation

文献类型:会议论文

作者Liu NL(刘乃龙)1,2,3; Cui L(崔龙)2,3; Liu ZM(刘钊铭)1,2,3
出版日期2019
会议日期August 8-11, 2019
会议地点Shenyang, China
关键词Dynamic movement primitives DMPs Robot learning Learning from demonstration
页码76-85
英文摘要DMPs (dynamic movement primitives) are a method to generate trajectory planning or control signal for complex robot movements. Each DMP is a nonlinear dynamical system which can be used as a primitive action for complex movements. The origin DMPs are used to model the robot joint space motion, however in many cases, robot motions are defined in Cartesian space, the model of Cartesian space is necessary. A Cartesian space DMPs variant is proposed which adds a dynamical quaternions goal subsystem to make the generated cartesian space twist more smooth and steady in the initial stage in this paper. This DMPs variant can be useful in some robot tasks which often require low speed operations, such as contact operation. © 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/173321/25503]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Liu NL(刘乃龙)
作者单位1.University of Chinese Academy of Sciences (CAS), Beijing 100049, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences (CAS), Shenyang 110016, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang 110016, China
推荐引用方式
GB/T 7714
Liu NL,Cui L,Liu ZM. A modified cartesian space DMPs model for robot motion generation[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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。