CHEN Mingfang,ZANG Jiaxiu,LI Junnan,et al.Design and applications of visual-based random poseworkpiece grabbing system[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(05):78-85.
CHEN Mingfang,ZANG Jiaxiu,LI Junnan,et al.Design and applications of visual-based random poseworkpiece grabbing system[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(05):78-85. DOI: 10.13471/j.cnki.acta.snus.2019.10.28.2019B106.
Design and applications of visual-based random poseworkpiece grabbing system
Aiming at the problem of large randomness and difficulty in grasping the displays on the display assembly line
a display grabbing system of random pose based on the vision was proposed. The system used the visual toolkit of Labview to collect and calculate the images
and generated the position data of different types of displays
and sended the data to the PLC to control the grasping action of the robot. The experimental platform was built with cartesian robot
industrial camera and industrial computer as the hardware foundation
and the human-computer interaction interface was configured with Labview software. The experimental shows that the coordinate error of the system is less than 0.4 mm
and the maximum angle error is within 0.3°. It is suitable for different types of displays
and the grasping system has good accuracy and high reliability.
WU J J, HU G S. Fast visual positioning algorithm for humanoid robot in indoor environment[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2013,52(4): 7-13.
RADKOWSKI R. Augmented reality-based manual assembly support with visual features for different degrees of difficulty[J]. International Journal of Human-Computer Interantion, 2015, 31(5): 337-349.
BOOTHROYD G. Product design for manufacture and assembly[J]. Computer-Aided Design,1994, 26(7): 505-520.
WANG X, ONG S K, NEE A Y C. A comprehensive survey of augmented reality assembly research[J]. Advances in Manufacturing, 2016, 4(1): 1-22.
张广军. 机器视觉[M]. 北京: 科学出版社, 2005:21-22.
ZHANG G J. Machine vision [M]. Beijing: Science Press, 2005: 21-22.
WANG T M, TAO Y. The status quo and industrialization development strategy of industrial robot technology in China[J]. Chinese Journal of Mechanical Engineering, 2014, 50(9): 1-13.
WANG Z L, YAN Y X, HAN D C, et al. Augmented reality blind zone assembly method based on machine vision[J]. Journal of Northwestern Polytechnical University, 2019, 37(3): 496-502.
JI X Q, WANG J C, ZHAO J D, et al. Intelligent assembly method of spaceborne equipment based on robot and vision guidance[J]. Journal of Mechanical Engineering, 2018, 23(1): 63-72.
ZHANG D F, ZHANG P Q. Research on image edge detection algorithm based on wavelet[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2007,46(3): 39-42.
HU M K. Visual pattern recognition by moment invariants[J]. Information Theory Ire Transactions on, 1962, 8(2): 179-187.
YIN S M, ZHU J P, WANG Z S, et al. Image segmentation based on top hat transformation and maximum inter-class variance method[J]. Science Technology and Engineering, 2014, 14(7): 66-70.
YI S L, ZHANG G F, HE J F, et al. Maximum entropy image segmentation based on maximum inter-class variance[J]. Computer Engineering and Science, 2018, 40(10): 1874-1881.
FALGUNI C, DEBASHIS N, PROVAS K R. Oppositional symbiotic organisms search optimization for multilevel thresholding of color image[J]. Applied Soft Computing Journal, 2019(82): 1-19.