Open Access
| Issue |
MATEC Web Conf.
Volume 123, 2017
2017 The 2nd International Conference on Precision Machinery and Manufacturing Technology (ICPMMT 2017)
|
|
|---|---|---|
| Article Number | 00013 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/matecconf/201712300013 | |
| Published online | 21 September 2017 | |
- http://www.adidas.com/us/originals-shoes [Google Scholar]
- http://www.nike-taiwan.com.tw/ [Google Scholar]
- Chuanyu Wu, Yong Ni, Qinchuan Li, Yuzhen Jin, Implementation of 5-DOF apparatus used for adhesive spray and roughing of shoe upper, Proceedings of the IEEE International Conference on Automation and Logistics, Qingdao, China, pp. 1408-1413, September 200. [Google Scholar]
- Yuzhen Jin, Lei Zhang, Chuanyu Wu, Zuchao Zhu, Detection of 3D curve for shoe sole spraying based on laser triangulation measurement, Proceedings of the IEEE International Conference on Automation and Logistics, Shenyang, China, pp. 865-868, 2009. [Google Scholar]
- Chuanyu Wu, Xiaojie Mao, Xiangjun Shi, Lei Zhang, Methods of generating robot spraying trajectory based on shoe sole information, Intelligent systems and applications, ISA 2009. International Workshop, pp. 1-4, 2009. [Google Scholar]
- Francesco Jatta, Lorenzo Zanoni, Irene Fassi, S. Negri, A roughing/cementing robotic cell for custom made shoe manufacture, Int. J. Computer Integrated Manufacturing, 17(7), 645–652, 2004 [CrossRef] [Google Scholar]
- Z. Hu, C. Marshall, R. Bicker, P. Taylor, Automatic surface roughing with 3D machine vision and cooperative robot control, Robotics and Autonomous Systems, 55(7), 552–560, 2007 [CrossRef] [Google Scholar]
- W. T. Wang, T.Y. Lee, C.M. Yang, W.S. Yin, Research of 3D vision intelligent robot system for shoe roughing and cementing, Proceedings of 2015 CSME, 2015/12. [Google Scholar]
- T. H. Chu, H. Kuo, W. Su, Cloud point PCL Learning, Beijing University of Aeronautics and Astronautics Press, 2012/10. [Google Scholar]
- https://en.wikipedia.org/wiki/K-d_tree [Google Scholar]
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