中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-time Human Motion Estimation for Human Robot Collaboration

文献类型:会议论文

作者Zhang YA(张延安)2,3; Ren HL(任恒乐)2,3; Zou FS(邹风山)1,3; Xu F(徐方)1,3; Jia K(贾凯)1,3; Kang J(康杰)2,3
出版日期2018
会议日期July 19-23, 2018
会议地点Tianjin, China
关键词human robot collaboration GMM EM real-time motion estimation minimum jerk
页码552-557
英文摘要In the process of human robot collaboration, safety is of vital importance, especially when the workspaces of human and robot are intersected, and collisions between them should be avoided. To avoid collision accurately, the motion of people must be in charge in real time, and making a reasonable estimate of human motion, so that the robots can make decisions accordingly, and plan their own motion quickly. This paper presents a framework of real-time motion estimation based on human posture which is based on ROS, firstly, the position of human joints is collected through the Kinect, then the gaussian mixture model (GMM) algorithm and EM algorithm are used to cluster and estimate based on the collected coordinate points, and adding labels to each category, which can help get the sequence of the joint, and realize the function of motion estimation. To guarantee the safety of people, this paper also discusses the motion estimation method of human motion trajectory mutation, which avoids the collision in case of emergency. Finally, the experimental results show that the presented framework of real-time motion estimation can describe the human body's movement accurately and make an accurate prediction, not only ensuring the human security, and it's of great significance in improving the production efficiency.
源文献作者IEEE Robotics & Automation Society
产权排序1
会议录Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2379-7711
ISBN号978-1-5386-7056-9
WOS记录号WOS:000468941800097
源URL[http://ir.sia.cn/handle/173321/24682]  
专题沈阳自动化研究所_其他
通讯作者Kang J(康杰)
作者单位1.Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang 110168, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Zhang YA,Ren HL,Zou FS,et al. Real-time Human Motion Estimation for Human Robot Collaboration[C]. 见:. Tianjin, China. July 19-23, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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