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Research on Vision System for Service Robot Based on Virtual Space Environment

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Advances in Technology and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 165))

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Abstract

In this paper, the Pioneer3 mobile robot produced by ActivMedia Robotics Corporation is taken as research platform based on multi-sensor information fusion technology. Visual navigation system of mobile robot obtained the internal and external parameters of camera through the Canon camera calibration, also the required coordinate of operation. Using the Camshift algorithm realized to track the target point real-time which reduced the searching scope of target to improve the tracking speed according to the color information of target position, and then tend to the accurate spot position. Finally the Manipulator used three degree-of-freedom model to complete actual operation under the virtual space environment. The experiment indicates that this control strategy with high robustness and strong real-time performance has good potential value which further improves the operational efficiency of service robots.

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References

  1. Desouza, G.N., Kak, A.C.: Vision for mobile robot navigation: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(2), 237–267 (2002)

    Article  Google Scholar 

  2. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer graphics principles and practice, pp. 590–591. Addison-Wesley

    Google Scholar 

  3. Crowley, J.L.: Mathematical foundations of navigation and perception for an autonomous mobile robot. In: International Workshop on Reasoning with Uncertainty in Robotics, pp. 9–51 (1995)

    Google Scholar 

  4. Pioneer 3 Operations Manual. Mobile Robots Inc. version 3 (January 2006)

    Google Scholar 

  5. Fernandes, J.C., Neves, J.A.B.: Angle Invariance for Distance Measurements Using a Single Camera. In: 2006 IEEE International Symposium on Industrial Electronics, July 9-13, vol. 1, pp. 676–680 (2006)

    Google Scholar 

  6. Thorpe, C.: The CMU rover and the FIDO vision navigation system Unmanned Untethered Submersible Technology. In: Proceedings of the 1983 3rd International Symposium on, vol. 3, pp. 103–115 (June 1983)

    Google Scholar 

  7. Fukunaga, K., Hostetler, L.: The estimation of the gradient of a density function with applications in pattern recognition. IEEE Transactions on Information Theory 1, 32–40 (1975)

    Article  MathSciNet  Google Scholar 

  8. Ma, S.D.: A self-calibration technique for active vision system. IEEE Trans. Robotics and Automation 12(l), 114–120 (1996)

    Google Scholar 

  9. Chang, C.Y., Shie, W.S., Wang, J.H.: Color image segmentation via fuzzy feature tuning and feature adjustment Systems. In: 2002 IEEE International Conference on Man and Cybernetics, vol. 4, pp. 617–622, 6–9 (October 2002)

    Google Scholar 

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Correspondence to Longhui Wu .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wu, L., Cui, S., Zhao, L., Bing, Z. (2012). Research on Vision System for Service Robot Based on Virtual Space Environment. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_89

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  • DOI: https://doi.org/10.1007/978-3-642-29637-6_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29636-9

  • Online ISBN: 978-3-642-29637-6

  • eBook Packages: EngineeringEngineering (R0)

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