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Robotic adaptive impedance control based on visual guidance
Erchao, Li; Zhanming, Li; Junxue, He
刊名International Journal on Smart Sensing and Intelligent Systems
2015
卷号8期号:4页码:2159-2174
关键词CCD cameras End effectors Robots Vision Visual servoing Gaussian kernels Image jacobian matrix Impedance control Nonlinear mappings Robot impedance control Support vector regression (SVR) Uncalibrated visual servoing Unknown environments
ISSN号1178-5608
DOI10.21307/ijssis-2017-847
英文摘要Uncalibrated visual servoing based on SVR-Jacobian estimator is proposed in unknown environment. Multiple support vector regression (SVR) machines are used to estimate the Jacobian matrix of images and the nonlinear mapping between the image features of the curved line and therobot joint angle is constructed, uncalibrated robot impedance control can be carried out Image Jacobian matrix expression with Gaussian kernel is put forward, the effectiveness of the presented approach is verified by using a 6 DOF robot with a CCD camera and a force/torque sensorinstalled in its end effector.
WOS研究方向Engineering
语种英语
出版者Massey University
WOS记录号WOS:000369651200014
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/112813]  
专题电气工程与信息工程学院
作者单位Lanzhou University of Technology, Lanzhou, China
推荐引用方式
GB/T 7714
Erchao, Li,Zhanming, Li,Junxue, He. Robotic adaptive impedance control based on visual guidance[J]. International Journal on Smart Sensing and Intelligent Systems,2015,8(4):2159-2174.
APA Erchao, Li,Zhanming, Li,&Junxue, He.(2015).Robotic adaptive impedance control based on visual guidance.International Journal on Smart Sensing and Intelligent Systems,8(4),2159-2174.
MLA Erchao, Li,et al."Robotic adaptive impedance control based on visual guidance".International Journal on Smart Sensing and Intelligent Systems 8.4(2015):2159-2174.
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