Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Motion Control of an Outdoor Patrol Robot using a Single Laser Range Finder

야외 순찰로봇을 위한 단일 레이저거리센서 기반 충돌 회피 주행 제어기법 개발

  • Received : 2009.02.01
  • Accepted : 2010.01.07
  • Published : 2010.04.01
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Abstract

This paper reports the development of a mobile robot for patrol using a single laser range finder. A Laser range finder is useful for outdoor environment regardless of illumination change or various weather conditions. In this paper we combined the motion control of the mobile robot and the algorithm for detecting the outdoor environment. For obstacle avoidance, we adopted the Vector Field Histogram algorithm. A laser range finder is mounted on the mobile robot and looking down the road with a small tilt angle. We propose an algorithm for detecting the surface of the road. The outdoor patrol robot platform is equipped with a DGPS system, a gyro-compass sensor, and a laser range finder. The proposed obstacle avoidance and road detection algorithms were experimentally tested in success.

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References

  1. J. Borenstein and Y. Koren, "The vector field histogram - fast obstacle avoidance for mobile robots" IEEE Journal of Robotics and Automation, vol. 7, no. 3, pp. 278-288, June 1991. https://doi.org/10.1109/70.88137
  2. R. B. Tilove, Local obstacle avoidance for mobile robots based on the method of artificial potentials, IEEE Int. Conf. Robot. Autom. pp. 566-571, 1990.
  3. D. Fox, W. Burgard, and S. Thrun, "The dynamic window approach to collision avoidance," Robotics & Automation Magazine, IEEE, vol. 4, Issue 1, pp. 23-33, Mar. 1997. https://doi.org/10.1109/100.580977
  4. Y. Kanayama, Y. Kimura, F. Miyazaki, and T. Noguchi, "A stable tracking control method for a non-holonomic mobile robot," Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop, vol. 3. on. 3-5, pp. 1236-1241, Nov. 1991. https://doi.org/10.1109/IROS.1991.174669
  5. K. Konolige, "A gradient method for realtime robot control," inProceedings of the IEE/RSJ Conference on Intelligent Robots and Systems, Takamatsu, Japan, 2000. https://doi.org/10.1109/IROS.2000.894676
  6. 노치원, 김승훈, 김문준, 강성철, 홍석교, “DGPS와 연석 추출을 이용한 순찰용 로봇의 개발” 제어. 자동화. 시스템공학 논문지, 제13권 제2호, pp. 140-146, 2007.
  7. Morales Yoichi, Carballo Alexander, Takeuchi Eijiro, Aburadani Atsushi, and Tsubouchi Takashi, "Autonomous robot navigation in outdoor cluttered pedestrian walkways," Journal of Field Robotics, vol. 26, pp. 609-635, 2009. https://doi.org/10.1002/rob.20301
  8. W. S. Wijesoma, K. R. S. Kodagoda, and A. P. Balasuriya, "Road-boundary detection and tracking using ladar sensing," IEEE Trans. Robot Automat. vol. 20, pp. 456-464, June 2004. https://doi.org/10.1109/TRA.2004.825269
  9. Y. Chunhe and Z. Danping, "Road curbs detection based on laser radar," Proceedings of IEEE International Conference on Signal Processing (ICSP'06), China 2006.

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