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An Image-Based Visual Servo Control of Robots with Omni-Directional Camera

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 254))

Abstract

An image-based visual servo with omni-directional camera is proposed to reach the desired distance and bearing between leaders’ robot and followers’ robot. First, the model of the omni-directional vision system is given. Then the improved vision model is presented and used during the following controller design. Furthermore, a nonlinear feedback control method is proposed for stabling the desired distance and bearing between the two robots. And the control algorithm utilizes estimations of the external input term which is only relative to the leader’s translational and angular accelerations. Finally, some experimental results show that the proposed model and control approach can effectively realize the formation by using only omni-directional vision system.

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References

  1. Hutchinson S, Hager G, Corke P (1996) A tutorial on visual servo control. IEEE Trans Robot Automat 12(5):651–670

    Article  Google Scholar 

  2. Dani AP, Gans N et al (2009) Position-based visual servo control of leader-follower formation using image-based relative pose and relative velocity estimation. Am Contr Conf 1(9):5271–5527

    Google Scholar 

  3. Carvalho E, Silva MP et al. (2009) Decentralized formation control of autonomous mobile robots, IECON 2009—35th annual conference of IEEE industrial electronics, pp 1504–1509

    Google Scholar 

  4. Espiau B, Chaumette F, Rives P (1992) A new approach to visual servoing in robotics. IEEE Trans Robot Automat 8(3):313–326

    Article  Google Scholar 

  5. Hyeun JM, Nikolaos P (2012) Robot formations using a single camera and entropy-based segmentation. J Intell Rob Syst 68(1):21–41

    Article  MATH  Google Scholar 

  6. López NG, Aranda M, Mezouar Y, Sagüés C (2012) Visual control for multirobot organized rendezvous. Part B: Cybern IEEE Trans Sys Man Cybern 42(4):1155–1168

    Article  Google Scholar 

  7. Omid S, Yi M, John TK, Shankar S (1999) Landing an unmanned air vehicle vision based motion estimation and nonlinear control. Asian J Contr 1(3):128–145

    Google Scholar 

  8. Vidal R, Shakernia O et al (2003) Following the flock: distributed formation control with omnidirectional vision-based motion segmentation and visual servoing. IEEE Robot Autom Mag 11(4):14–20

    Article  Google Scholar 

  9. Vidal R, Shakernia O, Kim HJ et al (2002) Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation. IEEE Trans Robot Autom 18(5):662–669

    Article  Google Scholar 

  10. Cowan N, Shakernia O et al (2003) Vision-based follow-the-leader. 2003 IEEE/RSJ international conference on intelligent robots and systems, vol 2, pp 1796–1801

    Google Scholar 

  11. Maynard P (2007) Drawing distinctions: the varieties of graphic expression. Cornell University Press, NY

    Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under grant 61203275 and the Tianjin Research Program of Application Foundation and Advanced Technology (11JCYBJC06500).

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Correspondence to Peng Yang .

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© 2013 Springer-Verlag Berlin Heidelberg

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Chen, H., Xing, G., Ma, Z., Wang, J., Yang, P. (2013). An Image-Based Visual Servo Control of Robots with Omni-Directional Camera. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_26

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  • DOI: https://doi.org/10.1007/978-3-642-38524-7_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38523-0

  • Online ISBN: 978-3-642-38524-7

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