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Open AccessArticle

Enhanced Switch Image-Based Visual Servoing Dealing with FeaturesLoss

Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, QC 1455, Canada
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Author to whom correspondence should be addressed.
Electronics 2019, 8(8), 903;
Received: 18 July 2019 / Revised: 7 August 2019 / Accepted: 9 August 2019 / Published: 15 August 2019
(This article belongs to the Special Issue Visual Servoing in Robotics)
PDF [2361 KB, uploaded 20 August 2019]


In this paper, an enhanced switch image-based visual servoing controller for a six-degree-of-freedom (DOF) robot with a monocular eye-in-hand camera configuration is presented. The switch control algorithm separates the rotating and translational camera motions and divides the image-based visual servoing (IBVS) control into three distinct stages with different gains. In the proposed method, an image feature reconstruction algorithm based on the Kalman filter is proposed to handle the situation where the image features go outside the camera’s field of view (FOV). The combination of the switch controller and the feature reconstruction algorithm improves the system response speed and tracking performance of IBVS, while ensuring the success of servoing in the case of the feature loss. Extensive simulation and experimental tests are carried out on a 6-DOF robot to verify the effectiveness of the proposed method. View Full-Text
Keywords: image-based visual servoing; image feature loss; industrial robots; switch control image-based visual servoing; image feature loss; industrial robots; switch control

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Ghasemi, A.; Li, P.; Xie, W.-F.; Tian, W. Enhanced Switch Image-Based Visual Servoing Dealing with FeaturesLoss. Electronics 2019, 8, 903.

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