GRASP CONFIGURATION MATCHING - Using Visual and Tactile Sensor Information

Madjid Boudaba, Alicia Casals

Abstract

Finding the global shape of a grasped object directly from touch is time consuming and not highly reliable. This paper describes the relationship between visual features and grasp planning, and correlates visual and tactile information for a better description of the object’s shape and grasping points determination. The grasping process proposed is experimented with a three fingered robotic hand.

References

  1. Allen, P., Miller, A., Oh, P., and Leibowitz, B. (1999). Integration vision, force and tactile sensing for grasping. Int. Journal of Intell. Mechatronics, 4(1):129-149.
  2. Berger, A. D. and Khosla, P. K. (1991). Using tactile data for real-time feedback. International Journal of of Robotics Research (IJR'91), 2(10):88-102.
  3. Boudaba, M. and Casals, A. (2006). Grasping of planar obbjects using visual perception. In Proc. IEEE 6th International Conference on Humanoid Robots (HUMANOIDS'06), pages 605-611, Genova, Italy.
  4. Boudaba, M., Casals, A., Osswald, D., and Woern, H. (2005). Vision-based grasping point determination on objects grasping by multifingered hands. In Proc. IEEE 6th International Conference on Field and Service Robotics (FRS'05), pages 261-272, Australia.
  5. Chen, N., Rink, R. E., and Zhang, H. (1995). Edge tracking using tactile servo. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'95), pages 84-99.
  6. Costa, L. and Cesar, R. (2001). Shape Analysis and Classification Theory and Practice. CRC Press, Florida, USA, 1st edition.
  7. Furht, B. (1995). A survey of multimedia compression techniques and standards, part ii: Video compression. Real-Time Imaging Journal, 1:319-337.
  8. Hirai, S. (2002). Kinematics of manipulation using the theory of polyhedral convex cones and its application to grasping and assembly operations. Trans. of the Society of Inst. and Control Eng., 2:10-17.
  9. Kragic, D., Miller, A., and Allen, P. (2001). Real-time tracking meets online grasp planning. In Proc. IEEE International Conference on Robotics and Automatation (ICRA'2001), pages 2460-2465, Seoul, Korea.
  10. Lee, M. H. and Nicholls, H. R. (1999). Tactile sensing for mechatronics - a state of the art servey. Mechatronics, 9:1-31.
  11. Lu, J. and Liou, M. L. (1997). A simple and efficient search algorithm for block matching motion estimation. IEEE Trans. Circuits And Systems for Video Technology, 7:429-433.
  12. M. Marji, P. S. (2003). A new algorithm for dominant points detection and polygonization of digital curves. Journal of the Pattern Recognition Society, 36:2239-2251.
  13. Maekawa, H., Tanie, K., and Komoriya, K. (1995). Tactile sensor based manipulation of an unknown object by a multifingered hand with rolling contact. In Proc. IEEE International Conference on Robotics and Automatation (ICRA'95), pages 743-750.
  14. Rosin, P. L. (1997). Techniques for assesing polygonal approximation of curves. IEEE Transaction on Pattern Analysis and Machine Intelligence, 19:659-666.
  15. Smith, C. and Papanikolopoulos (1996). Vision-guided robotic grasping: Issues and experiments. In Proc. IEEE International Conference on Robotics and Automatation (ICRA'96), pages 3203-3208.
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Paper Citation


in Harvard Style

Boudaba M. and Casals A. (2007). GRASP CONFIGURATION MATCHING - Using Visual and Tactile Sensor Information . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-83-2, pages 117-124. DOI: 10.5220/0001633401170124


in Bibtex Style

@conference{icinco07,
author={Madjid Boudaba and Alicia Casals},
title={GRASP CONFIGURATION MATCHING - Using Visual and Tactile Sensor Information},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={117-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001633401170124},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - GRASP CONFIGURATION MATCHING - Using Visual and Tactile Sensor Information
SN - 978-972-8865-83-2
AU - Boudaba M.
AU - Casals A.
PY - 2007
SP - 117
EP - 124
DO - 10.5220/0001633401170124