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Development of an RF-Ultrasonic Sensor System to Detect Goal and Obstacle for the CARTRI Robot

CARTRI 로봇의 목표물 검출과 장애물 검출을 위한 RE-초음파 센서 시스템 개발

  • 안철기 (부산대학교 메카트로닉스협동과정) ;
  • 이민철 (부산대학교 기계공학부)
  • Published : 2003.12.01

Abstract

In a park or street, we can see many people Jogging or walking with their dogs chasing their masters. In the previous study, an entertainment robot, CARTRI that imitates the dog's behavior was created. The robot's task was chasing a moving goal that was recognized as the master. The physical structure of the CARTRI robot was three-wheel type locomotion system. The sensor system which could detect the position of the master in the outdoor space, was consists of a signal transmitter which was held by the master and five ultrasonic receivers which were mounted on the robot. In the experiment, the robot could chase a human walking in outdoor space like a park. But it could not avoid obstacles and its behavior was only goal-chasing behavior because of the limit of the sensor system. In this study, an improved RF-ultrasonic sensor system which can detect both goal and obstacle is developed in order to enable the CARTRI robot to carry out various behavior. The sensor system has increased angle resolution by using eight ultrasonic receivers instead of five in the previous study. And it can detect obstacle by using reflective type ultrasonic sensors. The sensor system is designed so that detection of goal and obstacle could be conducted in one sampling period. The Performance of the developed sensor system is evaluated through experiments.

Keywords

References

  1. M. Fujita, 'Digital creatures for future entertainment robotics', Proceedings of the 2000 IEEE International Conference on Robotics & Automation, pp. 801-806, 2000 https://doi.org/10.1109/ROBOT.2000.844149
  2. G. S. Hornby, S. Takamura, J. Yokono, O. Hanagata, T. Yamamoto, and M. Fujita, 'Evolving robust gaits with AIBO', Proceedings of the 2000 IEEE International Conference on Robotics & Automation, pp. 3040-3045, 2000 https://doi.org/10.1109/ROBOT.2000.846489
  3. K. A. McIsaac, A. K. Das, J. M. Esposito, and J. P. Ostrowski, 'A hierarchical, modal approach to hybrid systems control of autonomous robots', Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1020-1025, 2000 https://doi.org/10.1109/IROS.2000.893153
  4. Y. Kuroki, 'A small biped entertainment robot', 2001 IEEE International Symposium on Micromechatronics and Human Science, pp. 3-4, 2001 https://doi.org/10.1109/MHS.2001.965213
  5. R. C. Arkin, Behavior-based robotics, MIT Press, U.S.A, 1998
  6. M. Dorigo and M. Colombetti, Robot Shaping:An Experiment in Behavior Engineering, MIT Press, U.S.A, 1998
  7. D. McFarland and T. Bosser, Intelligent Behavior in Animals and Robots, MIT Press, U.S.A, 1993
  8. 안철기, 이민철, '실외환경에서의 이동 목표 추종용 로봇의 개발', 제어.자동화.시스템공학 논문지 제 8 권, 제 11 호, pp. 954-962, 11, 2002 https://doi.org/10.5302/J.ICROS.2002.8.11.954
  9. A. M. Sabatini, 'Ultrasound-based active hearing techniques for tracking and identification of objects', Proceedings of the 1992 IEEE International Symposium on Intelligent Control, pp. 48-53, 1992 https://doi.org/10.1109/ISIC.1992.225065
  10. L. Cahut, K. P. Valavanis, and H. Delic, 'Sonar resolution-based environment mapping', Proceedings of the 1998 IEEE International Conference on Robotics & Automation, pp. 2541-2547, 1998 https://doi.org/10.1109/ROBOT.1998.680724
  11. J. Budenske and M. Gini, 'Why is it so difficult for a robot to pass through a doorway using ultrasonic sensors?', Proceedings of the 1994 IEEE International Conference on Robotics and Automation, pp. 3124-3129, 1994 https://doi.org/10.1109/ROBOT.1994.351090
  12. F. J. Toledo, J. D. Luis, L. M. Tomas, M. A. Zamora, and H. Martinez, 'Map building with ultrasonic sensors of indoor environments using neural networks', Proceedings of the 2000 IEEE International Conference on Systems, Man, and Cybernetics, pp. 920-925, 2000 https://doi.org/10.1109/ICSMC.2000.885967
  13. N. Harper and P. McKerrow, 'Recognizing plants with ultrasonic sensing for mobile robot navigation', (Eurobot '99) 1999 Third European Workshop on Advanced Mobile Robots, pp. 105-112, 1999
  14. R. C. Luo and T. M. Chen, 'Autonomous mobile target tracking system based on grey-fuzzy control algorithm,' IEEE Transactions on Industrial Electronics, vol. 47, no. 4, August, 2000 https://doi.org/10.1109/41.857973
  15. T. C. Wang and P. K. Varshney, 'A tracking algorithm for maneuvering targets,' IEEE Transactions on Aerospace and Electronic Systems, vol. 29, no. 3, July, 1993 https://doi.org/10.1109/7.220939
  16. K. C. C. Chan, V. Lee, and H. Leung, 'Robust target tracking using a fuzzy filter,' IEEE International Conference on Systems, Man and Cybernetics, pp. 4464-4467, 1995 https://doi.org/10.1109/ICSMC.1995.538497