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