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The Matlab toolbox for modeling complex mechanisms

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Języki publikacji
EN
Abstrakty
EN
In the paper, a new version of the Matlab toolbox for modeling and simulation of any mechanisms consisting of open kinematic chains is presented. This tool renders it possible to define any manipulator described by Denavit-Hartenberg parameters and then connect the mechanisms created in this way into one complex mechanism. The package can be used for a realistic visualization of robot motion necessary in research, didactic process or during design of a production cell. Available functions render it possible to show a realistic model of a mechanism based on both default and user defined appearance. The toolbox also provides a set of tools for performing simultaneous simulations of many robots and other objects in their workspace. An example illustrating new features of the toolbox, presenting modeling and motion simulating of human upper limb is also attached.
Słowa kluczowe
Rocznik
Strony
285--301
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wykr.
Twórcy
autor
  • University of Zielona Góra Institute of Computer Science and Production Management Licealna 9, 65-417 Zielona Góra, POLAND
Bibliografia
  • [1] ABB (2011): RobotStudio: of offline robot programming for ABB robots. - http://www.abb.com.
  • [2] Bingul Z., Koseeyaporn P. and Cook G.E. (2002): Windowsbased robot simulation tools. - 7th International Conference on Control, Automation, Robotics and Vision, Singapore.
  • [3] Bruyninckx H. (2001): Open robot control software: the OROCOS project. - IEEE International Conference on Robotics and Automation (ICRA), pp.2523-2528.
  • [4] Corke P.I. (1996): A robotics toolbox for MATLAB. - IEEE Robotics and Automation Magazine, vol.3, No.1, pp.24-32.
  • [5] Craig J.J. (1989): Introduction to Robotics. - Cambridge, Massachusetts: Addison Wesley.
  • [6] Fanuc (2011): ROBOGUIDE: a family of offline robot simulation software. - http://www.fanucrobotics.com.
  • [7] Fu K.S., Gonzalez R.C. and Lee C.S.G. (1987): Robotics. Control, Sensing, Vision and Intelligence. - New York: McGraw-Hill.
  • [8] Gourdeau R. (1997): Object oriented programming for robotic manipulators simulation. - IEEE Robotics and Automation Magazine, vol.4, No.3.
  • [9] Li K., Chen I., Yeo S.H. and Lim Ch.K. (2011): Development of finger-motion capturing device based on optical linear encoder. - Journal of Rehabilitation Research & Development, vol.48, No.1, pp.69-82.
  • [10] Kucuk S. and Bingul Z. (2010): An off-line robot simulation toolbox. - Computer Application in Engineering Education, 18, pp.41-52, DOI 10.1002/cae.20236. [CrossRef]
  • [11] Legnani G. (2006): SPACELIB: a software library for the Kinematic and dynamic analysis of systems of rigid bodies. - U. di Brescia. http://www.ing.unibs.it/~glegnani/
  • [12] López-Nicolás G., Romeo A. and Guerrero J.J. (2009): Project Based Learning of Robot Control and Programming. - ICEE & ICEER, pp.1-8.
  • [13] MathWorks, Inc. (2010): Matlab Programming Fundamentals. - Natick, Massachusetts.
  • [14] Pająk G. and Pająk I. (2011): The robot toolbox for Matlab. - Journal of Applied Mechanics and Engineering, vol.16, No.3, pp.809-820.
  • [15] Paul R.P. (1981): Robot Manipulators: Mathematics, Programming and Control. - Cambridge, Massachusetts: MIT Press.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-d4ed638d-4cdc-45c5-becb-e127b20d20a4
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