An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance

Aleksandar Cosic, Dusko Katic, Marko Susic, Aleksandar Cosic, Dusko Katic

Abstract

An approach for nonholonomic two-wheeled mobile robot trajectory tracking and obstacle avoiding is presented in this paper. If the desired trajectory is provided by high level planner, trajectory tracking problem can be solved in various ways. In this paper, tracking is provided using proportional-integral (PI) or fuzzy logic controller (FLC). Unfortunately, tracking is never perfect, due to uncertainties and obstacles can change their positions in time. In order to overcome these difficulties, additional correction controller must be used. Here is proposed fuzzy controller, which slightly changes control action of the tracking controller in order to prevent collision with obstacles. This approach is proved to be efficient even in dynamic environments. Simulation results are presented as illustration of the proposed approach.

References

  1. Laumond, J., 1998. Robot Motion Planning and Control, Springer-Verlag, London.
  2. LaValle, S., 2006. Planning Algorithms, Cambridge University.
  3. Masehian, E., Sedighizadeh, D., 2007. Classic and Heuristic Approaches in Robot Motion Planning, A Chronological Review, World Academy of Science, Engineering and Technology, 29.
  4. Bloch, A., Drakunov, S., 1994. Stabilization of a Nonholonomic System via Sliding Modes, IEEE Conference on Decision and Control
  5. Taner, H. G., Kyriakopoulos, K. J., 2003. Backstepping for Nonsmooth Systems, Automatica, Vol. 39, pp. 1259 - 1265.
  6. Oriolo, G., De Luca, A., Vendittelli, M., 2002. WMR Control via Dynamic Feedback Linearization: Decision, Implementation and Experimental Validation, IEEE Transactions on Control Systems Technology, Vol. 10, No.6, pp. 835-851.
  7. Mastellone, S., Stipanovic, D., Graunke, C., Intlekofer, K., Spong, M., 2008. Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments, The International Journal of Robotics Research, Vol. 27, No. 1, pp. 107-126.
  8. Fukao, T., Nakagawa, H., Adachi, N., 2000. Adaptive Tracking Control of a Nonholonomic Mobile Robot, IEEE Transactions on Robotics and Automation, Vol. 16, pp. 609-615.
  9. K├╝hne, F., Lages, W. F., Gomes da Silva Jr., J. M., 2005. Mobile Robot Trajectory Tracking using Model Predictive Control, 2nd IEEE Latin-American Robotics Symposium
  10. Jiang, X., Motai, Y., Zhu, X., 2005. Predictive Fuzzy Logic Controller for Trajectory Tracking of a Mobile Robot, IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications
  11. Oh, J. S., Park, J. B., Choi, Y. H., 2005. Stable Path Tracking Control of a Mobile Robot using a Wavelet Based Fuzzy Neural Network, International Journal of Control, Automation and Systems, Vol.3, No. 4, pp. 552-563.
  12. Susic, M., Cosic, A., Ribic, A., Katic, D., 2011. An Approach for Intelligent Mobile Robot Motion Planning and Trajectory Tracking in Structured Static Environments, Proceedings of the SISY 2011, pp. 17- 22.
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Paper Citation


in Harvard Style

Katic D., Cosic A., Susic M., Katic D. and Cosic A. (2012). An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-22-8, pages 211-216. DOI: 10.5220/0004010402110216


in Bibtex Style

@conference{icinco12,
author={Dusko Katic and Aleksandar Cosic and Marko Susic and Dusko Katic and Aleksandar Cosic},
title={An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2012},
pages={211-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004010402110216},
isbn={978-989-8565-22-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance
SN - 978-989-8565-22-8
AU - Katic D.
AU - Cosic A.
AU - Susic M.
AU - Katic D.
AU - Cosic A.
PY - 2012
SP - 211
EP - 216
DO - 10.5220/0004010402110216