Grid-Based Localization of a Mobile Robot Using Sonar Sensors

  • Lim, Jong-Hwan (Faculty of Mechanical, Energy and Production Engineering, Cheju National University) ;
  • Kang, Chul-Ung (Faculty of Mechanical, Energy and Production Engineering, Cheju National University)
  • Published : 2002.03.01

Abstract

This paper presents a technique for localization of a mobile robot using sonar sensors. Localization is the continual provision of knowledges of position that are deduced from its a priori position estimation. The environment of a robot is modeled by a two-dimensional grid map. We define a physically based sonar sensor model and employ an extended Kalman filter to estimate positions of the robot. Since the approach does not rely on an exact geometric model of an object, it is very simple and offers sufficient generality such that integration with concurrent mapping and localizing can be achieved without major modifications. The performance and simplicity of the approach are demonstrated with the results produced by sets of experiments using a mobile robot equipped with sonar sensors.

Keywords

References

  1. Bar-Shalom, Y. and Fortmann, T. E., 1988, Tracking and Data Association, Academic Press
  2. Bozma, O. and Kuc, R., 1991a, 'Characterizing Pulses Reflected from Rough Surfaces Using Ultrasound,' Journal of Acoustical Society of America, Vol. 89, No. 6, pp. 2519-2531 https://doi.org/10.1121/1.400692
  3. Bozma, O. and Kuc, R., 1991b, 'Building a Sonar Map in a Specular Environment Using a Single Mobile Transducer,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 13, No. 12, pp. 1260-1269 https://doi.org/10.1109/34.107000
  4. Cox, I. J., 1991, 'Blanche - an Experiment in Guidance and Navigation of an Autonomous Robot Vehicle,' IEEE Trans. Robotics and Automation, Vol. 7, No. 3, pp. 193-204 https://doi.org/10.1109/70.75902
  5. Drumheller, M., 1987, 'Mobile Robot Localization Using Sonar,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 9, No. 2, pp. 325-332 https://doi.org/10.1109/TPAMI.1987.4767907
  6. Elfes, A., 1987, 'Sonar-Based Real-World Mapping and Navigation,' IEEE Trans. Robotics and Automation, Vol. 3, No. 3, pp. 249-265 https://doi.org/10.1109/JRA.1987.1087096
  7. Gelb, A. C., 1973, Applied Optimal Estimation, The MIT Press
  8. Hinkel, R., Knieriemen, T. and Puttkamer, E., 1988, 'Mobot-III an Autonomous Mobile Robot for Indoor Applications,' Preceedings of the International Symposium and Exhibition on Robots, Sydney, Australia
  9. Hoppen, P., Knieriemen, T. and Puttkamer, E., 1990, 'Laser-Radar Based Mapping and Navigation for an Autonomous Mobile Robot,' Proc. IEEE Int. Conf. Robotics and Automation https://doi.org/10.1109/ROBOT.1990.126113
  10. Kang, S. K. and Lim, J. H., 1999, 'Sonar Based Position Estimation System for an Autonomous Mobile Robot Operating in an Unknown Environment,' KSME International Journal, Vol. 13, No. 4, pp. 339-349
  11. Leonard, J. J. and Durrant-White, H. F., 1992, Direct Sonar Sensing For Mobile Robot Navigation, Kluwer Academic Publisher
  12. Lim, J. H. and Leonard, J. J., 2000, 'Mobile Robot Relocation from Echolocation Constraints,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 1035-1041 https://doi.org/10.1109/34.877524
  13. Lim, J. H., 2001, 'Relocation of a Mobile Robot Using Sparse Sonar Data,' KSME International Journal, Vol. 15, No. 2, pp. 217-224
  14. Smith, R. and Cheeseman, P., 1987, 'On the Representation and Estimation of Spatial Uncertainty,' International Journal of Robotics Research, Vol. 5, No. 4, pp. 56-68 https://doi.org/10.1177/027836498600500404