A practical position-based visual servo design and implementation for automated fault insertion test

Banlue, Tassanai; Sooraksa, Pitikhate; Noppanakeepong, S.

doi:10.1007/s12555-013-0128-3

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…Issues such as the development of an improved image-based visual servo system for a 6-degree-of-freedom industrial robot are currently being investigated, along with algorithms for image reconstruction using Kalman filters, or mobile manipulators [86]. The use of new control schemes allows for the system to behave in a more robust, efficient and less time-consuming manner, and monitoring control is also of interest for robotic cloud systems with delayed measurements [87]. The fields of application of visual servo systems are very wide and include navigation, the location of mobile robots, the guide of humanoid robots, robot control, etc.…”

Section: Community Analysismentioning

confidence: 99%

Electronics and Its Worldwide Research

et al. 2020

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The contributions of researchers at a global level in the journal Electronics in the period 2012–2020 are analyzed. The objective of this work is to establish a global vision of the issues published in the Electronic magazine and their importance, advances and developments that have been particularly relevant for subsequent research. The magazine has 15 thematic sections and a general one, with the programming of 385 special issues for 2020–2021. Using the Scopus database and bibliometric techniques, 2310 documents are obtained and distributed in 14 thematic communities. The communities that contribute to the greatest number of works are Power Electronics (20.13%), Embedded Computer Systems (13.59%) and Internet of Things and Machine Learning Systems (8.11%). A study of the publications by authors, affiliations, countries as well as the H index was undertaken. The 7561 authors analyzed are distributed in 87 countries, with China being the country of the majority (2407 authors), followed by South Korea (763 authors). The H-index of most authors (75.89%) ranges from 0 to 9, where the authors with the highest H-Index are from the United States, Denmark, Italy and India. The main publication format is the article (92.16%) and the review (5.84%). The magazine publishes topics in continuous development that will be further investigated and published in the near future in fields as varied as the transport sector, energy systems, the development of new broadband semiconductors, new modulation and control techniques, and more.

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Section: Community Analysismentioning

confidence: 99%

Electronics and Its Worldwide Research

et al. 2020

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“…Visual servoing has been employed to increase the deftness and intelligence of industrial robots, especially in unstructured environments [1][2][3][4]. Based on how the image data are used to control the robot, visual servoing is classified into two categories: position-based visual servoing (PBVS) and image-based visual servoing (IBVS).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Switch Image-Based Visual Servoing Dealing with FeaturesLoss

Ghasemi

Xie

et al. 2019

Electronics

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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.

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Extraction of sparse features of color images in recognizing objects

Bui

Hong

2016

Int. J. Control Autom. Syst.

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A practical position-based visual servo design and implementation for automated fault insertion test

Cited by 8 publications

References 13 publications

Electronics and Its Worldwide Research

Electronics and Its Worldwide Research

Enhanced Switch Image-Based Visual Servoing Dealing with FeaturesLoss

Extraction of sparse features of color images in recognizing objects

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