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Combining physical and geometric models to plan safe and executable motions for a rover moving on a terrain

  • Section 8 Mobile Robots
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Book cover Experimental Robotics III

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 200))

Abstract

This paper deals with the problem of motion planning for a mobile robot moving on a three dimensional terrain. The main contribution of this paper is a planning method which takes into account non-trivial features such as: robot dynamics, physical interaction between the robot and the terrain, no-collision and kinematic constraints. The basic idea of our method is to integrate geometric and physical models of the robot and the terrain in a two-stage trajectory planning process. This process combines a discrete search strategy and a continuous motion generation method which is based upon the control of the model of the robot. We will describe how each level operates and how they interact in order to generate a sequence of sub-trajectories. We will also show how both of the robot and the terrain are modelled, and how the interactions between them are dealt with and used during the motion generation.

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References

  1. Ch. Bellier, Ch. Laugier, B. Faverjon, “A kinematic Simulator for Motion Planning of a Mobile Robot on a Terrain”, IEEE/RSJ Int. Workshop on Intelligent Robot and Systems, Yokohama, Japan, July 1993.

    Google Scholar 

  2. A.E. Bryson, Y. Ho, “Applied Optimal Control: Optimization, Estimation and Control”, Hemisphere Publishing Corp., 1975.

    Google Scholar 

  3. J.R. Bunch, L. Kaufman, “A Computational Method for the Indefinite Quadratic Programming Problem”, in Linear Algebra and its Applications, 34:341–370, 1980.

    Article  Google Scholar 

  4. M. Cherif, Ch. Laugier, “Using Physical Models to Plan Safe and Executable Motions for a Rover Moving on a Terrain”, First Workshop on Intelligent Robot Systems, J.L. Crowley and A. Dubrowsky (Eds), Zakopane, Poland, July 1993.

    Google Scholar 

  5. L.E. Dubins, “On Curves of Minimal Length with a Constraint on Average Curvature, and with Prescribed Initial and Terminal Positions and Tangents”, in American Journal of Mathematics, 79:497–516, 1957.

    Google Scholar 

  6. B. Faverjon, P. Tournassoud, “A Local Based Approach for Path Planning Manipulators with a High Number of Degrees of Freedom”, IEEE Int. Conf. on Robotics and Automation, Marsh 1987, Raleigh, USA.

    Google Scholar 

  7. D. Gaw, A. Meystel, “Minimum-time Navigation of an Unmanned Mobile Robot in a 2-1/2D World with Obstacles”, IEEE Int. Conf. on Robotics and Automation, April 1986.

    Google Scholar 

  8. H. Goldstein, “Classical Mechanics”, 2nd edition, Addison-Wesley, Massachusetts, 1983.

    Google Scholar 

  9. J.K. Hahn, “Realistic Animation of Rigid Bodies”, Computer Graphics (Siggraph'88), 22(4):299–308, August 1988.

    Article  Google Scholar 

  10. M. Iagolnitzer, F. Richard, J.F. Samson, P. Tournassoud, “Locomotion of an All-terrain Mobile Robot, IEEE Int. Conf. on Robotics and Automation, Nice, France, May 1992.

    Google Scholar 

  11. S. Jimenez, A. Luciani, C. Laugier, “Physical Modeling as an Help for Planning the Motions of a Land Vehicle”, IEEE/RSJ Int. Workshop on Intelligent Robot and Systems, Osaka, Japan, November 1991.

    Google Scholar 

  12. S. Jimenez, A. Luciani, C. Laugier, “Predicting the Dynamic Behaviour of a Planetary Vehicle Using Physical Models”, IEEE/RSJ Int. Workshop on Intelligent Robot and Systems, Yokohama, Japan, July 1993.

    Google Scholar 

  13. J.C. Latombe, “Robot Motion Planning”, Kluwer Academic Publishers, Boston, USA, 1991.

    Google Scholar 

  14. A. Liegeois, C. Moignard, “Minimum-time Motion Planning for Mobile Robot on Uneven Terrains”, in Robotic Systems, Kluwer 1992, pp. 271–278.

    Google Scholar 

  15. E. Mazer, J. Troccaz and al., “ACT: a Robot Programming Environment”, IEEE Int. Conf. on Robotics and Automation, Sacramento, April 1991.

    Google Scholar 

  16. Z. Shiller, J.C. Chen, “Optimal Motion Planning of Autonomous Vehicles in Three Dimensional Terrains”, IEEE Int. Conf. on Robotics and Automation, May 1990.

    Google Scholar 

  17. Z. Shiller, Y.R. Gwo, “Dynamic Motion Planning of Autonomous Vehicles”, IEEE Trans. on Robotics and Automation, vol. 7, No. 2, April 1991.

    Google Scholar 

  18. Th. Simeon, B. Dacre Wright, “A Practical Motion Planner for All-terrain Mobile Robots”, IEEE/RSJ Int. Workshop on Intelligent Robot and Systems, Yokohama, Japan, July 1993.

    Google Scholar 

  19. J. Tornero, G.J. Hamlin, R.B. Kelley, “Spherical-object Representation and Fast Distance Computation for Robotic Applications”, IEEE International Conference on Robotics and Automation, Sacramento, USA, May 1991.

    Google Scholar 

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Tsuneo Yoshikawa (PhD)Fumio Miyazaki (PhD)

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© 1994 Springer-Verlag London Limited

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Cherif, M., Laugier, C., Milesi-Bellier, C., Faverjon, B. (1994). Combining physical and geometric models to plan safe and executable motions for a rover moving on a terrain. In: Yoshikawa, T., Miyazaki, F. (eds) Experimental Robotics III. Lecture Notes in Control and Information Sciences, vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027614

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  • DOI: https://doi.org/10.1007/BFb0027614

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19905-2

  • Online ISBN: 978-3-540-39355-9

  • eBook Packages: Springer Book Archive

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