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2013 | 1 | 37--42
Tytuł artykułu

Full 3D Robotic Arm Control with Stereo Cameras Made in LabVIEW

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper we shall present a full application made in LabVIEW, which can control a robotic arm. The control is made upon image recognition system. The image recognition library is the NI Vision Development Module, which has all the tools necessary to create industrial computer vision applications. LabVIEW was also a good choice, because it has integrated a lot of interface drivers. We used the VISA (Virtual Instrument Software Architecture) driver for controlling the robotic arm on the RS-232 interface [3], [4]. We also have a very friendly GUI (Graphical User Interface) and a very friendly graphical programming environment. Our algorithm is to detect certain key parts of the robotic arm, then unite tem with straight lines, create the robotic arm's skeleton and introduce the data in the PC. After this, with some mathematical calculations we can compute exactly the angles needed to be moved by each motor to move the robotic arm in the desired point in the space. The Joints of the robotic arms are detected with color recognition algorithm. We placed colored bottle stopper over each Joint that interested us and recognized it with color filtering, this way we had extracted from the capered image that key points which we needed. (original abstract)
Rocznik
Tom
1
Strony
37--42
Opis fizyczny
Twórcy
  • University of Timişoara, Timişoara, Romania
  • University of Timişoara, Timişoara, Romania
Bibliografia
  • Ahuja N., Banerjee U.S., Darbhe V.A., Mapara T.N., Matkar A.D., Nirmal R.K., Balagopalan S., "Computer controlled robotic arm," 16th IFFP Symposium on Computer-Based Medical Systems, 2003, pp. 361-366.
  • Gontean A., Szabo R., Lie L., "Lab VIEW Powered Remote Lab," 15th International Symposium for Design and Technology of Electronics Packages (VITAE), 2009, pp 335-340.
  • Liyanage M.H., Krouglicot N., Gosine R., "Design and control of a high performance SCARA type robotic arm with rotary hydraulic actuators," Canadian Conference on Electrical and Computer Engineering (CCECE), 2009, pp. 827-832.
  • Liyanage M.H., Krouglicot N., Gosine R., "High speed electro-hydraulic actuator for a scam type robotic arm," International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 470-476.
  • Mulder M.C., Malladi S.R., "A minimum effort control algorithm for a cooperating sensor driven intelligent multi-jointed robotic arm," Proceedings of the 30th JEFF Conference on Decision and Control, vol. 2, pp. 1573-1578,1991.
  • Oyama E., Maeda T., Gan J.Q., Rosales E.M., MacDorman K.F., Tack S., Agah A., "Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems,"International Conference on Intelligent Robots and Systems (IROS), 2005, pp. 1791-1798.
  • SSC-32 User Manual. Available: http://wv.rw.lynxmotion.com/imagesi data/ssc-32.pdf, last visited April 20,2013.
  • Szabo R., Gontean A., Lie L., "Smart Commanding of a Robotic Arm with Mouse and a Hexapod with Microcontroller," 18th International Conference on Soft Computing (ME1VDEL), 2012, pp. 476-481.
  • Szabo R., Gontean A., Lie L., Babaita M., "Comparison between Agilent and National Instruments Functional Test Systems," 8th International Symposium on Intelligent Systems and Informatics (SISY), 2010, pp. 87-92.
  • Szabo R., Lie L., "Automated Colored Object Sorting Application for Robotic Arms," International Symposium on Electronics and Telecommunications (ISETC). Tenth Edition, 2012, pp. 95-98.
  • Wong Guan Hao, Yap Yee Leck, Lim Chot Hun, "6-DOF PC-Based Robotic Arm (PC-ROBOARM) with efficient trajectory planning and speed control," 4th International Conference On Mechatronics (7C0.1 0, 2011, pp. 1-7.
  • Woosung Yang, Ji-Hun Bae, Yonghwan Oh, Nak Young Chong, Bum-Jae You, Sang-Rok Oh, "CPG based self-adapting multi-DOF robotic arm control," International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 4236-4243.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171278607

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