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Obstacle Avoidance Using the Human Operator Experience for a Mobile Robot

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Abstract

In this paper, a neuro-fuzzy technique has been used to steer a mobile robot. The neuro-fuzzy approach provides a good way to capture the information given by a human. In this manner, it has been possible to obtain the rules and membership functions automatically whereas a fuzzy approach needs to make a prior definition of the rules and membership functions. In order to apply the neuro-fuzzy strategy, two mobile robots have been developed. However, in this paper only the smallest one has been considered. Similar results are obtained for the biggest one. The results of the approach are satisfactory, avoiding the obstacles when the mobile robot is steered to the target.

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References

  1. Acosta, L., Marichal, G. N., Moreno, L., Rodrigo, J. J., Hamilton, A., and Mendez, J. A.: A robotic manufacturing subsystem based on neural networks and fuzzy logic techniques, in: Internat. ICSC Symposium on Engineering of Intelligent Systems, Tenerife, February 11-13, 1998, pp. 189-193.

  2. Arkin, R. C. and Murphy R. R.: Autonomous navigation in a manufacturing environment, IEEE Trans. Robotics Automat. 6(4) (1990), 445-454.

    Google Scholar 

  3. Chen, C. H.: Fuzzy Logic and Neural Networks Handbook, McGraw-Hill, New York, 1996.

    Google Scholar 

  4. Kelly, I. D. and Keating, D. A.: Shared Experience Learning on a Pair of Autonomous Mobile Robots, Distributed Autonomous Robotic Systems, Vol. 2, Springer, Berlin, 1966.

    Google Scholar 

  5. Kelly, I. D. and Keating, D. A.: Faster learning of control parameters through sharing experiences of autonomous mobile robots, Internat. J. Systems Sci. 29(7) (1998), 783-793.

    Google Scholar 

  6. Kosko, B.: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice-Hall, Englewood Cliffs, NJ, 1992.

    Google Scholar 

  7. Li,W.: Fuzzy logic-based prediction-action behavior control of a mobile robot in uncertain environments, in: Proc. of IEEE World Congress on Computational Intelligence, Orlando, 1994, pp. 1626-1631.

  8. Li, H. and Gupta, M. (eds): Fuzzy Logic and Intelligent Systems, Kluwer Academic, Dordrecht, 1995.

    Google Scholar 

  9. Maclin, R. and Shavlik, J. W.: Creating advice-taking reinforcement learners, Machine Learning 22 (1996), 251-281.

    Article  Google Scholar 

  10. Maeda, M., Maeda, Y., and Murakami, S.: Fuzzy drive control of an autonomous mobile robot, Fuzzy Sets and Systems 39 (1991), 195-204.

    Google Scholar 

  11. Miller, W., Sutton, R., and Werbos, P. (eds): Neural Networks for Control, Mit Press, Cambridge, MA, 1990.

    Google Scholar 

  12. Mitchell, R. J. and Keating, D. A.: Neural network control of a simple mobile robot, in: L. J. Landau and J. G. Taylor (eds), Concepts for Neural Networks: A Survey, Springer, London.

  13. Wang, T. and Zhang, B.: Time-varying potential field-based perception-action behaviors of mobile robot, in: Proc. of IEEE Internat. Conf. on Robotics and Automation, May 1992, pp. 2549-2554.

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Authors and Affiliations

  1. Department of Applied Physics, University of La Laguna, La Laguna, 38271, Tenerife, Spain

    L. Acosta, G. N. Marichal, L. Moreno, J. A. Méndez & J. J. Rodrigo

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  1. L. Acosta
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  2. G. N. Marichal
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  3. L. Moreno
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  4. J. A. Méndez
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  5. J. J. Rodrigo
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Acosta, L., Marichal, G.N., Moreno, L. et al. Obstacle Avoidance Using the Human Operator Experience for a Mobile Robot. Journal of Intelligent and Robotic Systems 27, 305–319 (2000). https://doi.org/10.1023/A:1008104122177

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  • DOI: https://doi.org/10.1023/A:1008104122177

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