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By Dan Zhang, Bin Wei

Featuring chosen contributions from the 2d overseas convention on Mechatronics and Robotics Engineering, held in great, France, February 18–19, 2016, this ebook introduces fresh advances and state of the art applied sciences within the box of complex clever manufacturing.

This systematic and thoroughly certain assortment presents a priceless reference resource for mechanical engineering researchers who are looking to find out about the most recent advancements in complex production and automation, readers from looking capability strategies for his or her personal functions, and people focused on the robotics and mechatronics industry.

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Extra resources for Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing

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Springer. , & Wenger, P. (2010). Sensitivity comparison of planar parallel manipulators. Mechanism and Machine Theory, 45(11), 1477–1490. Chen, G. , Lin, Z. , et al. (2015). The principle axes decomposition of spatial stiffness matrices. IEEE Transactions on Robotics, 31(1), 191–207. , & Yue, Y. (2016). Modeling and experimental study of a novel 3-RPR parallel micro-manipulator. Robotics and Computer-Integrated Manufacturing, 37, 115–124. Gosselin, C. M. (1990). Stiffness mapping for parallel manipulators.

Robotics and Computer-Integrated Manufacturing, 37, 115–124. Gosselin, C. M. (1990). Stiffness mapping for parallel manipulators. IEEE Transactions on Robotics and Automation, b3, 6, 377–382. , & Lu, Y. (2011). Solving stiffness and deformation of a 3-UPU parallel manipulator with one translation and two rotations. Robotica, 29(6), 815–822. , et al. (2014). Unified stiffness model of lower mobility parallel manipulators with linear active legs. International Journal of Robotics and Automation, 29(1), 58–66.

Using these edges h1 and h2, estimate the distances between left/right edge of the QR code and the camera plan in order to obtain the rotation angle c1. Table 1 illustrates the experimental analysis of estimating distances (d1, d2) between the left/right edge of QR code and the camera plane at a distance 100, 150 and 200 cm respectively (Dutta 2015). Where d = Length of QR code (Fig. 3b). Using distances d1 and d2, it is possible to evaluate the rotation angle (c1). 1 The idea about the geometrical derivation has been taken from article (Dutta 2015).

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