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Marker Tracking for Indirect Positioning During Fabric Manipulation

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Book cover Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

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Abstract

We describe here a marker tracking algorithm for indirect positioning during planar fabric manipulation. Indirect positioning is a unique problem during manipulations of deformable objects. Improving the tracking of position by a robotic system contributes to the dexterous manipulation of deformable objects. To formulate this algorithm, we assessed the movement of a single robotic finger moving one manipulated point on a fabric to one positioned point or marker, to the desired point on a floor. To select an appropriate algorithm, we classified disturbances during the positioning of fabrics. To precisely detect the position of the marker during these disturbances, we applied the combination of a particle filter and a labeling processing to the algorithm. Experimental evidence showed that, due to its precision in detecting position, this algorithm was suitable for indirect positioning.

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References

  1. Taylor PM (1990) Sensory robotics for the handling of limp materials. Springer Verlag, Berlin

    Google Scholar 

  2. Taylor PM, Pollet DM, Abbott PJW (1998) The Influence of environmental conditions on automated fabric handling. J Rob Mechatron 10(3):258–263

    Google Scholar 

  3. Parker JK, Dubey R, Paul FW, Becker RJ (1983) Robotic fabric handling for automation garment manufacturing. J Eng Ind 105:21–26

    Article  Google Scholar 

  4. Fahantidis N, Doulgeri Z (2000) A gripper for grasping non-rigid material pieces out of a bundle. In: Proceedings of the IEEE international conference on intelligent robots and systems, pp 2145–2150

    Google Scholar 

  5. Kabaya T, Kakikura M (1998) Service robot for housekeeping? Clothing handling? J Rob Mechatron 10(3):252–257

    Google Scholar 

  6. Torgerson E, Paul FW (1987) Vision guided robotic fabric manipulation for apparel manufacturing. In: Proceedings of 1987 IEEE international conference on robotics and automation, pp 1196–1202

    Google Scholar 

  7. Ono E, Kita N, Sakane S (1995) Strategy for unfolding a fabric piece by cooperative sensing of touch and vision. In: Proceedings of the IEEE international conference on intelligent robots and systems, pp 441–445

    Google Scholar 

  8. Hirai S, Wada T (2000) Indirect simultaneous positioning of deformable objects with multi pinching fingers based on uncertain model. Robotica 18(1):3–11

    Article  Google Scholar 

  9. Kita Y, Saito F, Kita N (2004) A deformable model driven visual method for handling clothes. In: Proceedings of the international conference on robotics and automation, pp 3889–3895

    Google Scholar 

  10. Paraschidis K, Fahantidis N, Vassiliadis V, Petridis V, Doulgeri Z, Petrou L, Hasapis G (1995) A robotic system for handling textile materials. In: Proceedings of 1995 IEEE international conference on robotics and automation, pp 1769–1774

    Google Scholar 

  11. Hamajima K, Kakikura M (1998) Planning strategy for task untangling laundry? Isolating clothes from a washed mass? J Rob Mechatron 10(3):244–251

    Google Scholar 

  12. Hata S, Hojoh H, Toda M, Hamada T (2011) Cloth handling system for linen supply industry. In: Proceedings of the international conference on mechatronics and automation, pp 864–869

    Google Scholar 

  13. Shibata M, Ota T, Endo Y, Hirai S (2008) Handling of hemmed fabrics by a single-armed robot. In: Proceedings of the 4th IEEE conference on automation science and engineering, pp 882–887

    Google Scholar 

  14. Shibata M, Ota T, Hirai S (2009) Wiping motion for deformable object handling. In: Proceedings of the IEEE international conference on robotics and automation, pp 134–139

    Google Scholar 

  15. Shibata M, Ohta T, Hirai S (2010) Robotic unfolding of hemmed fabric using pinching slip motion. In: Proceedings of the international conference on advanced mechatronics, pp 392–397

    Google Scholar 

  16. Shibata M, Hirai S (2012) A fabric manipulation utilizing contacts with environments. In: Proceedings of the IEEE conference on automation science and engineering, pp 438–443

    Google Scholar 

  17. Smith RS, Cheng-Chih C, Fanson JL (1994) The design of hinf controllers for an experimental non-collocated flexible structure problem. IEEE Trans Control Syst Technol 2(2):101–109

    Google Scholar 

  18. Matsuno F, Ohno T, Orlov YV (2002) Proportional derivative and strain (PDS) boundary feedback control of a flexible space structure with a closed-loop chain mechanism. Automatica 38(7):1201–1211

    Article  MATH  MathSciNet  Google Scholar 

  19. Shibata M, Hirai S (2006) Soft object manipulation by simultaneous control of motion and deformation. In: Proceedings of the 2006 IEEE international conference on robotics and automation, pp 2460–2465

    Google Scholar 

  20. Isard M, Blake A (1998) Condensation-conditional density propagation for visual tracking. Int J Comput Vis 29(1):5–29

    Google Scholar 

  21. Burger W, Burge MJ (2007) Digital image processing: an algorithmic introduction using java. Springer

    Google Scholar 

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Acknowledgments

This research was partially supported by The Furukawa Foundation for promotion of technical science.

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Correspondence to Mizuho Shibata .

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Shibata, M. (2013). Marker Tracking for Indirect Positioning During Fabric Manipulation. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_93

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_93

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

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