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Evaluation of Robot Vision Control Scheme Based on EKF Method for Slender Bar Placement in the Appearance of Obstacles

Sung-Mun Hong, Wan-Shik Jang, Jae-Meung Kim
JKSPE 2015;32(5):471-481.
Published online: May 1, 2015
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This paper presents the robot vision control schemes using Extended Kalman Filter (EKF) method for the slender bar placement in the appearance of obstacles during robot movement. The vision system model used for this study involves the six camera parameters(C1~C6). In order to develop the robot vision control scheme, first, the six parameters are estimated. Then, based on the estimated parameters, the robot‘s joint angles are estimated for the slender bar placement. Especially, robot trajectory caused by obstacles is divided into three obstacle regions, which are beginning region, middle region and near target region. Finally, the effects of number of obstacles using the proposed robot"s vision control schemes are investigated in each obstacle region by performing experiments of the slender bar placement.

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Evaluation of Robot Vision Control Scheme Based on EKF Method for Slender Bar Placement in the Appearance of Obstacles
J. Korean Soc. Precis. Eng.. 2015;32(5):471-481.   Published online May 1, 2015
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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Evaluation of Robot Vision Control Scheme Based on EKF Method for Slender Bar Placement in the Appearance of Obstacles
J. Korean Soc. Precis. Eng.. 2015;32(5):471-481.   Published online May 1, 2015
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