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Development of Robot Vision Control Schemes based on Batch Method for Tracking of Moving Rigid Body Target

강체 이동타겟 추적을 위한 일괄처리방법을 이용한 로봇비젼 제어기법 개발

  • Received : 2018.08.27
  • Accepted : 2018.09.06
  • Published : 2018.10.31

Abstract

This paper proposed the robot vision control method to track a moving rigid body target using the vision system model that can actively control camera parameters even if the relative position between the camera and the robot and the focal length and posture of the camera change. The proposed robotic vision control scheme uses a batch method that uses all the vision data acquired from each moving point of the robot. To process all acquired data, this robot vision control scheme is divided into two cases. One is to give an equal weight for all acquired data, the other is to give weighting for the recent data acquired near the target. Finally, using the two proposed robot vision control schemes, experiments were performed to estimate the positions of a moving rigid body target whose spatial positions are unknown but only the vision data values are known. The efficiency of each control scheme is evaluated by comparing the accuracy through the experimental results of each control scheme.

Keywords

References

  1. Ahmed, M. S., Saatchi, R. and Caparrelli, F., "Vision Based Object Recognition and Localization by a Wireless Connected Distributed Robotic Systems", Electronic Letters on Computer Vision and Image Analysis, Vol. 11, No. 1, pp. 54-67, 2012. https://doi.org/10.5565/rev/elcvia.486
  2. Lee, G. I., Kim, J. Y., Roh, C. S. and Choi, C.J., "Customized Pattern-Recognition Technique using Vision Measurement System Development in New Car Manufacturing Process", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 15, No. 4, pp. 51-59, 2016. https://doi.org/10.14775/ksmpe.2016.15.4.051
  3. Yang, Y. S. and Bae, K. Y., "Application of Stereo Vision for Shape Measurement of Free-form Surface using Shape-from-shading", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 16, No. 5, pp. 134-140, 2017.
  4. Mohamed, A., Yang, C. and Cangelosi, A., "Stereo Vision based Object Tracking Control for a Movable Robot Head", Preprints of the 4th IFAC International Conference on Intelligent Control and Automation Sciences, Reims, France, June 1-3, pp. 161-168, 2016.
  5. Petrovic, E., Leu, A., Ristic-Durrant, D. and Nikolic, V., "Stereo Vision-Based Human Tracking for Robotic Follower", International Journal of Advanced Robotic Systems, Vol. 10, pp. 1-10, 2013. https://doi.org/10.5772/52938
  6. Durmus, B., Temurtas, H., Yumusak, N., Temurtas, T. and Kazan, R., "The Cost Function Minimization for Predictive Control by Newton- Raphson Method", Proceeding of the International Multiconference of Engineers and Computer Scientists, Vol. 2, pp. 19-21, 2008.
  7. Yang, C., Huang, Q., Ogbobe, P. O. and Han, J., "Forward Kinematics Analysis of Parallel Robots Using Global Newton-Raphson Method", Proceedings of 2009 Second ICICTA., pp. 407-410, 2009.
  8. Horn, B. K. P., Robot Vision, Cambridge, Massachusetts, The MIT Press, pp. 46-48, 1986.
  9. Sandon, P. A., "Control of Eye and Arm Movements Using Active, Attentional Vision", International Journal of, Pattern Recognition and Artificial Intelligence, Vol. 8, No. 6, pp. 1471-1491, 1994. https://doi.org/10.1142/S0218001494000711
  10. Son, J. K., Hong, S. M. and Jang, W. S., "Evaluation of Two Robot Vision Control Algorithms Developed Based on N-R and EKF Methods for Slender Bar Placement", The Korean Society of Mechanical Engineerings, Vol. 37, No. 4, pp. 447-459, 2013. https://doi.org/10.3795/KSME-A.2013.37.4.447
  11. Craig, J. J., Introduction to Robotics Mechanics and Control 2nd Edition, Addison-Wesley Publishing Company, pp. 83-84, 1989.
  12. Freedman, D., Pisani, R. and Purves, R., Statistic Fourth Edition, W. W. Norton & Company, pp. 66-67, 2007.

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