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Vision-Based Robotic Graphic Programming System

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Transactions on Edutainment V

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 6530))

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Abstract

Visual sensor is widely used in the robotics industry for its cheapness and acquiring information-rich. In this paper we study on vision-based robot programming system and represent the system architecture including the whole framework, the hardware and software components, the visual feedback control loop structure. The relative techniques include robot vision calibration, the building of 3D graphics simulation platform and the workstation-based open robot controller. At last we demonstrate a game of robot lighting candles based on the simulation platform and a game of robot locating in real experiment, separately.

Supported by the National Natural Science Foundation of China under Grant Nos. 60703002; the Natural Science Foundation of Zhejiang Province of China under Grant No. Y1090335; key projects from Science and Technology Department of Zhejiang Province under Grant No. 2007C11022; social development projects from Science and Technology Department of Zhejiang Province under Grant No. 2009C33043.

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References

  1. Pascoal, A., Oliveira, P., Silvestre, C., et al.: MARIUS: an autonomous underwater vehicle for coastal oceanography. IEEE Robotics & Automation Magazine 4(4), 46–59 (1997)

    Article  Google Scholar 

  2. Maria, G.: The future of robot programming. Robotica 5(3), 235–246 (1987)

    Article  Google Scholar 

  3. Fan, Y., Tan, M.: Current state and tendencies in the development of robot controller. Robot 21(1), 75–80 (1999)

    Google Scholar 

  4. Miller, D.J., Lennox, R.C.: An object-oriented environment for robot system architectures. In: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 352–361 (1990)

    Google Scholar 

  5. Boyer, M., et al.: An object-oriented paradigm for the design and implementation of robot planning and programming system. In: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 204–209 (1991)

    Google Scholar 

  6. Wong, R.K.: Advanced object-oriented techniques for modeling robotic systems. In: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 1099–1104 (1995)

    Google Scholar 

  7. Robinette, M.F., Manseur, A.R.: Robot-Draw, an Internet-based visualization tool for robotics education. IEEE Transactions on Education 44(1), 29–34 (2001)

    Article  Google Scholar 

  8. Tsai, R., Lenz, R.: A new technique for fully autonomous and efficient 3D robotics hand/eye calibration. IEEE Transactions on Robotics and Automation 5(3), 345–358 (1989)

    Article  Google Scholar 

  9. Zhuang, H., Roth, Z.S.: Simultaneous Calibration of a Robot and a Hand-Mounted Camera. IEEE Transactions on Robotics and Automations 11(5), 649–660 (1995)

    Article  Google Scholar 

  10. Liang, R., Mao, J.: Hand-eye calibration with a new linear decomposition algorithm. Journal of Zhejiang University Science A 9(10), 1363–1368 (2008)

    Article  MATH  Google Scholar 

  11. Hornick, M.L., Ravani, B.: Computer-aided Off-line Planning and Programming of Robot Motion. Int. J. Robotics Research (4), 18–31 (1986)

    Google Scholar 

  12. Lawrence Zitnick, C., Kanade, T.: A Cooperative Algorithm for Stereo Matching and Occlusion Detection. IEEE Transactions on Robotics and Pattern Analysis and Machine Intellegence 22(7), 675–684 (2000)

    Article  Google Scholar 

  13. Sun, J., Zheng, N., Shum, H.-Y.: Stereo Matching Using Belief Propagation. IEEE Transactions on Robotics and Pattern Analysis And Machine Intellegence 25(7), 787–800 (2003)

    Article  MATH  Google Scholar 

  14. Ma, M., Hao, C., Li, X.: A Survey On Grey Image Processing. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, pp. 4141–4145 (2004)

    Google Scholar 

  15. Li, L., Li, F.: What, where and who? Classifying events by scene and object recognition. In: ICCV 2007, pp. 1–8 (2007)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Mao, J., Liang, R., Mao, K., Tian, Q. (2011). Vision-Based Robotic Graphic Programming System. In: Pan, Z., Cheok, A.D., Müller, W., Yang, X. (eds) Transactions on Edutainment V. Lecture Notes in Computer Science, vol 6530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18452-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-18452-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18451-2

  • Online ISBN: 978-3-642-18452-9

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