Abstract
This paper presents a Laboratory implementation of a computer vision using fuzzy logic techniques for the detection of boundaries in images obtained through a camera installed in a robotic arm. Here, these images were captured, digitized and analysed using fuzzy algorithms, in order to used for the control of the robotic arm carrying the camera. The image treatment process uses the method proposed by Pal and Majumder (1987), which employs image enhancement techniques through the use of fuzzy set concepts. The image recognition process generates the control signal necessary to move the robotic arm in a given specific pathway, as well as to determine the next action to be taken at the end of the task.
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References
Bonitz, R. G., and Hsia, T. C., February (1996). Internal Force-Based Impedance Control for Cooperating Manipulators, IEEE Transactions on Robotics and Automation, vol. 12, no. 1.
Cox, E., (1994).The Fuzzy Systems Handbook: A practitioner’s Guide to Building, Using, and Maintaining Fuzzy Systems, Academic Press.
Gonzalez, R. C. and Woods, R. E. (1992). Digital Image Processing, Addison-Wesley Publishing Company.
Kawasaki, H., Bito, T. and Kanzaki, K., June (1996). An Efficient Algorithm for the Model-Based Adaptive Control of Robotic Manipulators, IEEE Transactions on Robotics and Automation, vol. 12, no. 3.
Luh, J. Y. S. (1983). Conventional controller design for industrial robots-A tutorial. IEEE Trans. Syst. Man. Cyber.,vol. SMC-13, n° 3,Mai.
Microchip Technology Incorporated (1997). PIC16C7X Data Sheet, DS30390E, USA.
Moudgal, V. G., Kwong, W. A., Passino, K. M. and Yurkovich, S., May (1995). Fuzzy Learning Control for a Flexible-Link Robot, IEEE Transactions Fuzzy Systems, vol. 3, no. 2.
Pal, Sankar K. and Majumder, Dwijesh K. Dutta. (1987). Fuzzy Mathematical Approach to Pattern Recognition, John Wiley & Sons.
Rocco, P., August (1996). Stability of PID Control for Industrial Robot Arms, IEEE Transactions on Robotics and Automation, vol. 12, no. 4.
Young, K. Y., & Shiah, S. J., November (1997). An Approach to Enlarge Learning Space Coverage for Robot Learning Control, IEEE Transactions on Fuzzy Systems, vol. 5, no. 4.
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© 2001 Springer-Verlag Berlin Heidelberg
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Breunig, A., de Azevedo, H.R., Teixeira, E.P., de Faria, E.B. (2001). Computer Vision Using Fuzzy Logic for Robot Manipulator. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_27
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DOI: https://doi.org/10.1007/3-540-45554-X_27
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