Skip to main content
Log in

Development of a Cleaning Robot System with Cooperative Positioning System

  • Published:
Autonomous Robots Aims and scope Submit manuscript

Abstract

For the development of an automatic floor cleaning robot system, an accurate positioning method in unstructured and dynamically changing environments is indispensable. Dead reckoning is a popular method, but is not reliable for measurement over long distances especially on uneven and slippery floors due to the accumulation error of wheel diameter and slippage. The landmark method, which estimates current position relative to landmarks, cannot be used in an uncharted and an unfamiliar environment. We have proposed a new method called“Cooperative Positioning System (CPS).” The main concept of CPS is to divide the robots into two groups, A and B where group A remains stationary and acts as a landmark while group B moves, then group B stops and acts as a landmark for group A. This process is repeated until the target position is reached. CPS has a far lower accumulation of positioning error than dead reckoning, and can work in three-dimensions. Also, CPS has inherent landmarks and therefore works in uncharted environments. In previous papers, we have introduced the prototype CPS machine models, CPS-I and CPS-II and demonstrated high performance as a positioning system in an unknown and uneven environment. In this paper, we report on the third prototype CPS model, CPS-III, that is designed specifically as an automatic floor-cleaning robot system, and the results of a floor cleaning experiment. In this system, we categorize these robots fortwo tasks, that is, an accurate positioning task achieved with 3 robots using the CPS strategy, and a floor-cleaning task executed by an omni-directional vehicle, so as to improve the efficiency of the floor-cleaning system. Experiments show that these robots can perform a floor-cleaning task in a corridor within a positioning error of 140.8 mm even after robots move over a distance of 101.7 m.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arai, T., Kimura, H., Maeda, K., Ota, J., and Umeda, K. 1994. Development of real-time position/orientation measuring system for multiple mobile robot system. Journal of the Robotics Society of Japan (in Japanese), 12(3):472–478.

    Google Scholar 

  • Atiya, S. and Hager, G.D. 1993. Real-time vision-based robot localization. IEEE Trans.on Robotics and Automation, 9(6):785–800.

    Google Scholar 

  • Barshan, B. and Durrent-Whyte, H.F. 1995. Inertial navigation systems for mobile robots. IEEE Trans.on Robotics and Automation, 11(3):328–342.

    Google Scholar 

  • Becker, C., Salas, J., Tokusei, K., and Latombe, J.-C. 1995. Reliable navigation using landmarks. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 401–406.

  • Betke, M. and Gurvits, L. 1997. Mobile robot localization using landmarks. IEEE Trans.Robotics and Automation, 13(2):251–263.

    Google Scholar 

  • Baumgartner, E.T. and Skaar, S.B. 1994. An autonomous visionbsed mobile robot. IEEE Trans.Autonomous Control, 39(3):493–502.

    Google Scholar 

  • Borenstein, J. and Feng, L. 1996. Gyrodometry: A new method for combining data from gyros and odometry in mobile robots. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 423–428.

  • Brooks, R.A., Maes, P., Mataric, M.J., and More, G. 1990. Lunar construction robots. In Proc.of IEEE Int.Workshop on Intelligent Robots and Systems'90, pp. 389–392.

  • Brown, J.S. and Burton, R.R. 1978. Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, 2(2):155–192.

    Google Scholar 

  • Corre, J.F. and Garcia, G. 1992. Real-time determination of the location and speed of mobile robots running on non-planar surface***. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 2594–2599.

  • Crowley, J.L. 1985. Dynamic world modeling for an intelligent mobile robot using a rotating ultra-sonic ranging device. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 128–135.

  • Duerr, T.E. 1992. Effect of terrain masking on GPS position dilution of precision. Navigation, 39(3):317–323.

    Google Scholar 

  • Fuke, Y. and Krotkov, E. 1996. Dead reckoning for a lunar rover on uneven terrain. In Proc.IEEE Int.Conf.on Robotics and Automation, pp. 411–416.

  • Hanebeck, U.D. and Schmidt, G. 1996. Set theoretic localization of fast mobile robots using an angle measurement technique. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 1387–1394.

  • Hirose, S. and Amano, S. 1993. The vuton: High payload high efficiency holonomic omni-directional vehicle. In Proc.Int.Symp.on Robotics Research, pp. 253–260.

  • Hirose, S., Ootsukasa, N., Shirai, T., Kuwahara, H., and Yoneda, K. 1995. Fundamental considerations for the design of a planetary rover. In Proc.IEEE Int.Conf.on Robotics and Automation, pp. 1939–1944.

  • Hirose, S., Sensu, R., and Aoki, S. 1992. The TAQT CARRIER: A practical terrain-adaptive quadru-track carrier robot. In Proc***.IEEE/RSJ Int.Conf.on Intelligent Robots and Systems, pp. 2068–2073.

  • Kobayashi, K., Munekata, F., and Watanabe, K. 1994. Accurate navigation via differential GPS and vehicle local sensors. In Proc***.of IEEE Int.Conf.on Multisensor Fusion and Integration Systems, pp. 9–16.

  • Kriegnan, D.J., Triendl, E., and Binford, T.O. 1989. Stereo vision and navigation in buildings for mobile robot. IEEE Trans.on Robotics and Automation, 5(6):792–803.

    Google Scholar 

  • Krotkov, E. 1989. Mobile robot localization using a single image. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 978–983.

  • Kuniyoshi, Y., Rougeaux, S., and Ishii, M. 1994. Cooperation by observation—The framework and basic task patterns. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 767–774.

  • Kurazume, R. and Hirose, S. 1998. Study on cooperative positioning system—Optimum moving strategies for CPS-III. In Proc.of IEEE Int.Conf.on Robotics and Automation, Vol. 4, pp. 2896–2903.

    Google Scholar 

  • Kurazume, R. and Hirose, S. 2000. An experimental study of a cooperative positioning system. Autonomous Robots, 8(1):43–52.

    Google Scholar 

  • Kurazume, R., Hirose, S., Nagata, S., and Sashida, N. 1996. Study on cooperative positioning system-basic principle and measurement experiment. In Proc.IEEE Int.Conf.on Robotics and Automation, Vol. 2, pp. 1421–1426.

    Google Scholar 

  • Kurazume, R. Nagata, S., and Hirose, S. 1994. Cooperative positioning with multiple robots. In Proc.IEEE Int.Conf.on Robotics and Automation, Vol. 2, pp. 1250–1257.

    Google Scholar 

  • Matthies, L. and Shafer, S.A. 1987. Error modeling in stereo navigation. IEEE J.of Robotics and Automation, RA-3(3):239–248.

    Google Scholar 

  • McGillem, C.D. and Rappaport, T. 1988. Infra-red location system for navigation of autonomous vehicle. In Proc.of IEEE Int.Conf.of on Robotics and Automation, pp. 1236–1238.

  • Nishizawa, T., Ohya, A., and Yuta, S. 1995. An implementation of on-board position estimation for a mobile robot. In Proc.of IEEE Int.Conf.on Robotics and Automation, pp. 395–400.

  • Sugihara, K. 1988. Some location problems for robot navigation using a single camera. Computer Vision, Graphics, and Image Processing, 42(1):112–129.

    Google Scholar 

  • Sutherland, K.T. and Thompson, W.B. 1994. Localizing in unstructured environments: Dealing with the errors. IEEE Trans.on Robotics and Automation, 10(6):740–754.

    Google Scholar 

  • Talluri, R. and Aggarwal, J.K. 1992. Position estimation for an autonomous mobile robot in an outdoor environment. IEEE Trans.on Robotics and Automation, 8(5):573–584.

    Google Scholar 

  • Talluri, R. and Aggarwal, J.K. 1996. Mobile robot self-location using model-image feature correspondence. IEEE Trans.on Robotics and Automation, 12(1):63–77.

    Google Scholar 

  • Tranquilla, J.M. and Al-Rizzo, H.M. 1993. Investigation of GPS precise relative static positioning during periods of ice clouds and snowfall. IEEE Trans.on Geoscience and Remote Sensing, 31(1):295–299.

    Google Scholar 

  • Yoder, J.D., Baumgartner, E.T., and Skaar, S.B. 1996. Initial results in the development of a guidance system for a powered wheelchair. IEEE Trans.Rehabilitation Engineering, 4(3):143–151.

    Google Scholar 

  • Yuta, S. and Premvuti, S. 1992. Coordinating autonomous and centralized decision making to achieve cooperative behaviors between multiple mobile robots, In IEEE/RSJ Int.Conf.on Intelligent Robots and Systems IROS'92, pp. 1566–1574.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kurazume, R., Hirose, S. Development of a Cleaning Robot System with Cooperative Positioning System. Autonomous Robots 9, 237–246 (2000). https://doi.org/10.1023/A:1008906716833

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008906716833

Navigation