The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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The Motion Estimation of Caterpilla-type Mobile Robot Using Robust SLAM

강인한 SLAM을 이용한 무한궤도형 이동로봇의 모션 추정

  • Published : 2009.04.01
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Abstract

This paper proposes a robust method for mapping of a caterpillar-type mobile robot which inherently has uncertainty in its modeling by compensating for the estimated pose error of the robot. In general, a caterpillar type robot is difficult to model, which results in inaccuracy in Simultaneous Localization And Mapping(SLAM). To enhance the robustness of the SLAM for a caterpillar-type mobile robot, we factorize the SLAM posterior, where we used particle filter to estimate the position of the robot and Extended Kalman Filter(EKF) to map the environment. The simulation results show the effectiveness and robustness of the proposed method for mapping.

Keywords

References

  1. Michael Montemerlo, 'FastSLAM : A Factored Solution to the Simultaneous Localization and Mapping Problem with Unknown Data Association', School of Computer Science Carnegie Mellon University, 2003
  2. R. Chellappa, A. Jain, 'Markov Random Fields : Theory and Applications', Academic Press, 1993
  3. A. Doucet, N. de Freitas, K. Murphy, S. Russell, 'Rao-blackwellised particle filtering for dynamic bayes net', Proceedings of conference on Uncertainty in Artificial Intelligence, 2000
  4. A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001
  5. F. Dellaert, D. Fox, W. Burgard, S. Thrun, 'Monte carlo localization for mobile robots', Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 2, pp. 1322-1328, 1999 https://doi.org/10.1109/ROBOT.1999.772544
  6. S. Thrun, W. Burgard, D. Fox, 'Probabilistic Robotics', MIT press, 2005
  7. M. Deans, M. Herbert, 'Experimental comparison of techniques for localization and mapping using a bearing-only sensor', Proceedings of the International Symposium on Experimental Robotics (ISER) , 2002 https://doi.org/10.1007/3-540-45118-8_40
  8. E. Nebot, F. Masson, J Guivant, and H. Durrant-Whyte, 'Robust simultaneous localization and mapping for very large outdoor environments', Springer Tracts in Advanced Robotics, Vol. 5, pp. 209-209, 2003 https://doi.org/10.1007/3-540-36268-1_17
  9. J. Tardos, J. Niera, P. Newman, and J. Leonard, 'Robust mapping and localization In indoor environments using sonar data', International Journal of Robotics Research, Vol. 21, No.4, pp. 311-330, 2002 https://doi.org/10.1177/027836402320556340