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A Human-Robot Collaboration Framework Based on Human Motion Prediction and Task Model in Virtual Environment
Liu HY(刘鸿雁)2,3,4; Qu DK(曲道奎)1,3,4; Xu F(徐方)1,3,4; Zou FS(邹风山)1; Song JL(宋吉来)1; Jia K(贾凯)1,3,4
2019
会议日期July 29 - August 2, 2019
会议地点Suzhou, China
页码1044-1049
英文摘要Human-robot collaboration is one of the hot topics in the field of robotics, which has attracted much recent interests. This paper proposes a human-robot collaboration framework that combines a human motion prediction model with a finite state machine-based task model. A virtual human-robot collaboration environment is created, including a robot model, an interactive object model, and a human body model that can be controlled by a skeleton point tracking algorithm. The experimental results show that the precision and recall based on our model are much higher than those based on the traditional Gaussian mixture model. The task model based on finite state machine can effectively model human-robot collaboration tasks.
产权排序1
会议录Proceedings of 9th IEEE 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978-1-7281-0770-7
WOS记录号WOS:000569550300181
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/27667]  
专题沈阳自动化研究所_其他
通讯作者Liu HY(刘鸿雁)
作者单位1.Shenyang SIASUN Robot & Automation Co., Ltd., Shenyang 110168, China
2.University of Chinese Academy of Sciences, Beijing 100049 China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
4.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
Liu HY,Qu DK,Xu F,et al. A Human-Robot Collaboration Framework Based on Human Motion Prediction and Task Model in Virtual Environment[C]. 见:. Suzhou, China. July 29 - August 2, 2019.
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