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Landmark Detection for Docking Tasks

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ROBOT 2017: Third Iberian Robotics Conference (ROBOT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 693))

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Abstract

For docking manoeuvres, the detection of the objects to dock needs to be precise as the minimum deviation from the objective may lead to the failure of this task. The objective of this article is to test possible ways to detect a landmark using a laser rangefinder for docking manoeuvres. We will test a beacon-based localisation algorithm and an algorithm based on natural landmarks already implemented, however, we will apply modifications to such methods. To verify the possibility of docking using these methods, we will conduct experiments with a real robot.

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References

  1. Wang, W., Li, Z., Yu, W., Zhang, J.: An autonomous docking method based on ultrasonic sensors for self-reconfigurable mobile robot. In: 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1744–1749 (2009)

    Google Scholar 

  2. Li, D., Fu, H., Wang, W.: Ultrasonic based autonomous docking on plane for mobile robot. In: 2008 IEEE International Conference on Automation and Logistics, pp. 1396–1401 (2008)

    Google Scholar 

  3. Luo, R.C., Huang, C.H., Huang, C.Y.: Search and track power charge docking station based on sound source for autonomous mobile robot applications. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1347–1352 (2010)

    Google Scholar 

  4. Luo, R.C., Liao, C.T., Lin., S.C.: Multi-sensor fusion for reduced uncertainty in autonomous mobile robot docking and recharging. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2203–2208 (2009)

    Google Scholar 

  5. Kim, M., Kim, H.W., Chong. N.Y.: Automated robot docking using direction sensing RFID. In: Proceedings 2007 IEEE International Conference on Robotics and Automation, pp. 4588–4593 (2007)

    Google Scholar 

  6. Amarasinghe, D., Mann, G.K.I., Gosine., R.G.: Vision-based hybrid control strategy for autonomous docking of a mobile robot. In: Proceedings of 2005 IEEE Conference on Control Applications, CCA 2005, pp. 1600–1605 (2005)

    Google Scholar 

  7. Zhang, Z., Qu, Z.S., Li, Q.: An autonomous docking simulation system based on monocular vision. In: 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics, p. 4 p. 1315 (2006)

    Google Scholar 

  8. Luo, R.C., Liao, C.T., Su, K.L., Lin, K.C.: Automatic docking and recharging system for autonomous security robot. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2953–2958 (2005)

    Google Scholar 

  9. Kartoun, U., Stern, H., Edan, Y., Feied, C., Handler, J., Smith, M., Gillam M.: Vision-based autonomous robot self-docking and recharging. In: 2006 World Automation Congress, pp. 1–8 (2006)

    Google Scholar 

  10. Sobreira H.: Fiabilidade e robustez da localização de robôs móveis. Thesis (2017)

    Google Scholar 

  11. Lauer, M., Lange, S., Riedmiller, M.: Calculating the perfect match: an efficient and accurate approach for robot self-localization, pp. 142–153. Springer, Berlin, Heidelberg (2006)

    Google Scholar 

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Acknowledgments

This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project , and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013.

The research leading to these results has received funding from the European Union’s Horizon 2020 - The EU Framework Programme for Research and Innovation 2014–2020, under grant agreement No. 688807.

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Correspondence to Francisco Ferreira .

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Ferreira, F., Sobreira, H., Veiga, G., Moreira, A. (2018). Landmark Detection for Docking Tasks. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-70833-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-70833-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70832-4

  • Online ISBN: 978-3-319-70833-1

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