Study on cooperative positioning system (basic principle and measurement experiment)

Several position identification methods have been used for mobile robots. We propose a new method called "cooperative positioning system (CPS)". For CPS, we divide the robots into two groups, A and B. The group A remains stationary and acts as a landmark while group B is moving. Group B then stops and acts as a landmark for group A. This "dance" is repeated until the target position is reached. By using the concept of "portable landmarks", CPS has a far lower accumulation of positioning error than dead reckoning, and can work in three-dimensions which is not possible with dead reckoning; it can therefore work in uncharted environments. In this paper we outline the second prototype CPS machine model (CPS-II) and report the results of position identification experiments. Experimental results using this model give a positioning accuracy of o.4% for position and 1.0 degree for attitude.

[1]  Eric Krotkov,et al.  Mobile robot localization using a single image , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[2]  Takashi Tsubouchi,et al.  Map assisted vision system of mobile robots for reckoning in a building environment , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[3]  Jake K. Aggarwal,et al.  Position estimation for an autonomous mobile robot in an outdoor environment , 1992, IEEE Trans. Robotics Autom..

[4]  Jean-Paul Laumond,et al.  Position referencing and consistent world modeling for mobile robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[5]  Shigeo Hirose,et al.  Fundamental considerations for the design of a planetary rover , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[6]  Ryo Kurazume,et al.  Cooperative positioning with multiple robots , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[7]  James L. Crowley Dynamic world modeling for an intelligent mobile robot using a rotating ultra-sonic ranging device , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[8]  William B. Thompson,et al.  Localizing in unstructured environments: dealing with the errors , 1994, IEEE Trans. Robotics Autom..

[9]  Bir Bhanu,et al.  Landmark recognition for autonomous mobile robots , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[10]  Larry H. Matthies,et al.  Error modeling in stereo navigation , 1986, IEEE J. Robotics Autom..