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Content Provider | IEEE Xplore Digital Library |
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Author | Jin mei Li HuiGuang |
Copyright Year | 2008 |
Description | Author affiliation: Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao (Jin mei; Li HuiGuang) |
Abstract | This paper presents an attractive image-based visual servoing approach for eye-in-hand robotic systems. The major contribution of this work is in devising an optimization controller to control the velocity of the camera and GMC (generic model control) is introduced to confirm the output trajectory of the system. Then an adaptive law is proposed to estimate the unknown depth of the feature points of the selected object. The asymptotic convergence of the image errors to zero is proved by the Lyapunov theory. The simulation results are presented for 6 degrees of freedom (DOF) eye-in-hand system, which clearly show the validity of the proposed approach. |
Starting Page | 2064 |
Ending Page | 2068 |
File Size | 153158 |
Page Count | 5 |
File Format | |
ISBN | 9781424425020 |
DOI | 10.1109/ICAL.2008.4636503 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-09-01 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Visualization Robot vision systems optimization controller depth estimation eye-in-hand Cameras visual servoing Visual servoing Trajectory GMC Robots Equations |
Content Type | Text |
Resource Type | Article |
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