• May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 has been indexed by EI (Inspec).   [Click]
  • Aug 01, 2018 News! [CFP] 2020 the annual meeting of IJMO Editorial Board, ECDMO 2020, will be held in Athens, Greece, February 15-17, 2020.   [Click]
  • Aug 05, 2019 News!Vol 9, No 5 has been published with online version. 10 original aritcles from 6 countries are published in this issue.    [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2019 Vol.9(1): 41-45 ISSN: 2010-3697
DOI: 10.7763/IJMO.2019.V9.681

Microsoft Kinect Sensor Used to Capture Data for Robotics Applications

Ionel Staretu and Catalin Moldovan
Abstract—The process of capturing digital images has greatly evolved since the initial appearance of photography in general. In recent years, this evolution has been greatly accelerated by the development of high resolution and specialized digital capture sensors which, in turn, has opened the door for research to develop new products and algorithms allowing imaging to be used as input for controlling different other devices or robots. Still, for there to be a real mapping between a digital image and physical word a lot of research has been done in the field of algorithms and sensors, which have lately resulted in the emergence of affordable and specialized devices on the market like Microsoft Kinect or Motion Leap. Initially, the Microsoft Kinect device was exclusively used for the gaming industry, but later captured the attention of the research community, who quickly noticed that the sensor could be used as a very affordable alternative in the three-dimensional mapping process of space. Soon, an SDK was developed by PrimeSense (OpenNI), which allowed the sensor to be used for any other purpose, not just in the field of games. One of these opportunities is the use of the sensor in the field of image analysis for which a product to capture the movement of a human was developed and is presented in this paper along with a proposal to use the capture mechanism to command and control an industrial robotic arm.

Index Terms—Digital images, capture sensors, depth data, Microsoft Kinect, robot arm.

I. Staretu and C. Moldovan are with the Transilvania University of Brasov, Brasov, Romania and the Academy of Technical Sciences of Romania, Bucharest, Romania (e-mail: istaretu@ yahoo.com, mcatalin1983@yahoo.com).

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Cite: Ionel Staretu and Catalin Moldovan, "Microsoft Kinect Sensor Used to Capture Data for Robotics Applications," International Journal of Modeling and Optimization vol. 9, no. 1, pp. 41-45, 2019.

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