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author:

Chen, D. (Chen, D..) [1] | Xi, N. (Xi, N..) [2] | Wang, Y. (Wang, Y..) [3] | Tang, X. (Tang, X..) [4]

Indexed by:

Scopus

Abstract:

In this paper, we present a predictive strategy for teleoperating via communication channel with unknown and variable time delay, where the remote robot is compensated to be a linear system. According to the state received from remote plant and the local predictor, a discrete-time device called path governor(PG) generates on line a suitable time-parameterization of the path to be tracked, by solving at fixed interval a look-ahead optimization problem. In order to demonstrate its effectiveness, a master/slave teleoperation problem over Internet is considered. Experimental results show that the teleoperation system can be stable and has good tracking performance under three circumstances. © 2008 IEEE.

Keyword:

Internet; Model predictive control; Optimization method; Path parameterization; Robot

Community:

  • [ 1 ] [Chen, D.]Robotics Laboratory, Chinese Academy of Sciences, Shenyang Institute of Automation(SIA), Shenyang,Liaoning province, China
  • [ 2 ] [Chen, D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou,Fujian province, China
  • [ 3 ] [Chen, D.]Graduate School, Chinese Academy of Sciences, Beijing, China
  • [ 4 ] [Xi, N.]Robotics Laboratory, Chinese Academy of Sciences, Shenyang Institute of Automation(SIA), Shenyang,Liaoning province, China
  • [ 5 ] [Wang, Y.]Robotics Laboratory, Chinese Academy of Sciences, Shenyang Institute of Automation(SIA), Shenyang,Liaoning province, China
  • [ 6 ] [Tang, X.]Robotics Laboratory, Chinese Academy of Sciences, Shenyang Institute of Automation(SIA), Shenyang,Liaoning province, China

Reprint 's Address:

  • [Chen, D.]Robotics Laboratory, Chinese Academy of Sciences, Shenyang Institute of Automation(SIA), Shenyang,Liaoning province, China

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Source :

2007 IEEE International Conference on Robotics and Biomimetics, ROBIO

Year: 2007

Page: 297-301

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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