Visual Servoing Path-planning with Spheres

Tiantian Shen, Graziano Chesi

Abstract

This paper proposes a path-planning approach for visual servoing in the case where the observed object features are points and spheres. Two main situations are considered. In the first situation, it is supposed that at least two points and at least a sphere are observed. In the second situation, it is supposed that at least three spheres are observed. The problem consists of planning a trajectory in order to ensure the convergence of the robot end-point to the desired location while satisfying visibility and workspace constraints, in particular including occlusion and collision avoidance. A solution based on polynomial parametrizations is proposed in order to determine a feasible path in the 3D space, and such a path is then followed by tracking its image projection through image-based visual servoing. Some simulation results illustrate the proposed approach.

References

  1. Chaumette, F. (1998a). De la perception l'action : l'asservissement visuel; de l'action la perception : la vision active. PhD thesis, Universit de Rennes 1.
  2. Chaumette, F. (1998b). Potential problems of stability and convergence in image-based and position-based visual servoing. In Kriegman, D., Hager, G., and Morse, S., editors, The Confluence of Vision and Control, pages 66-78. vol. 237 of Lecture Notes in Control and Information Sciences, Springer-Verlag.
  3. Chaumette, F. (2004). Image moments: a general and useful set of features for visual servoing. IEEE Trans. on Robotics, 20(4):713-723.
  4. Chaumette, F. and Hutchinson, S. (2006). Visual servo control, part I: Basic approaches. IEEE Robotics and Automation Magazine, 13(4):82-90.
  5. Chaumette, F. and Hutchinson, S. (2007). Visual servo control, part II: Advanced approaches. IEEE Robotics and Automation Magazine, 14(1):109-118.
  6. Chesi, G. (2009). Visual servoing path-planning via homogeneous forms and lmi optimizations. IEEE Trans. on Robotics, 25(2):281-291.
  7. Chesi, G. and Hashimoto, K., editors (2010). Visual Servoing via Advanced Numerical Methods. Springer.
  8. Chesi, G., Hashimoto, K., Prattichizzo, D., and Vicino, A. (2004). Keeping features in the field of view in eyein-hand visual servoing: A switching approach. IEEE Trans. on Robotics, 20(5):908-914.
  9. Chesi, G. and Hung, Y. S. (2007). Global path-planning for constrained and optimal visual servoing. IEEE Trans. on Robotics, 23(5):1050-1060.
  10. Chesi, G. and Vicino, A. (2004). Visual servoing for large camera displacements. IEEE Trans. on Robotics, 20(4):724-735.
  11. Collewet, C. and Marchand, E. (2010). Luminance: A new visual feature for visual servoing. In Chesi, G. and Hashimotos, K., editors, Visual Servoing via Advanced Numerical Methods, pages 71-90. vol. 401 of Lecture Notes in Control and Information Sciences, Springer-Verlag.
  12. Cowan, N., Weingarten, J., and Koditschek, D. (2002). Visual servoing via navigation functions. IEEE Trans. on Robotics and Automation., 18(4):521-533.
  13. Craig, J., editor (2005). Introduction to Robotics: Mechanics and Control. Pearson Education.
  14. Gans, N. and Hutchinson, S. (2007). Stable visual servoing through hybrid switched-system control. IEEE Trans. on Robotics, 23(3):530-540.
  15. Hashimoto, K., Kimoto, T., Ebine, T., and Kimura, H. (1991). Manipulator control with image-based visual servo. In Proc. IEEE Int. Conf. Robot. Automat., pages 2267-2272, San Francisco, CA.
  16. Malis, E., Chaumette, F., and Boudet, S. (1999). 2 1/2 d visual servoing. IEEE Trans. on Robotics and Automation, 15(2):238-250.
  17. Mezouar, Y. and Chaumette, F. (2002a). Path planning for robust image-based control. IEEE Trans. on Robotics and Automation, 18(4):534-549.
  18. Mezouar, Y. and Chaumette, F. (2002b). Path planning for robust image-based control. IEEE Trans. on Robotics and Automation., 18(4):534-549.
  19. Oh, P. Y. and Allen, P. K. (2001). Visual servoing by partitioning degrees of freedom. IEEE Trans. on Robotics and Automation, 17(1):1-17.
  20. Shen, T. and Chesi, G. (2012). Visual servoing pathplanning for cameras obeying the unified model. Advanced Robotics, 26(8-9):843-860.
  21. Tahri, O. and Chaumette, F. (2005). Point-based and regionbased image moments for visual servoing of planar objects. IEEE Trans. on Robotics, 21(6):1116-1127.
  22. Tahri, O., Mezouar, Y., Chaumette, F., and Araujo, H. (2010). Visual servoing and pose estimation with cameras obeying the unified model. In Chesi, G. and Hashimotos, K., editors, Visual Servoing via Advanced Numerical Methods, pages 231-252. vol. 401 of Lecture Notes in Control and Information Sciences, Springer-Verlag.
  23. Tatsambon Fomena, R. and Chaumette, F. (2008). Visual servoing from two special compounds of features using a spherical projection model. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'08, pages 3040-3045, Nice, France.
  24. Taylor, C. and Ostrowski, J. (2000). Robust vision-based pose control. In IEEE Int. Conf. Robot. Automat., pages 2734-2740, San Francisco, CA.
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Paper Citation


in Harvard Style

Shen T. and Chesi G. (2012). Visual Servoing Path-planning with Spheres . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 22-30. DOI: 10.5220/0003998000220030


in Bibtex Style

@conference{icinco12,
author={Tiantian Shen and Graziano Chesi},
title={Visual Servoing Path-planning with Spheres},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={22-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003998000220030},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Visual Servoing Path-planning with Spheres
SN - 978-989-8565-21-1
AU - Shen T.
AU - Chesi G.
PY - 2012
SP - 22
EP - 30
DO - 10.5220/0003998000220030