@inproceedings{c8ec7a6ef441457f8541a71579f82515,
title = "A genetic algorithm-based surface segmentation method for spray painting robotics",
abstract = "Two novel methods of complex surface segmentation in robot spray trajectory planning are developed. It is designed by using genetic algorithm. The first method is able to separate the largest patch from the surface, while the second approach is capable of dividing the surface with the smallest number of slices. Moreover, different initial triangles are selected to produce different segmentation results. This will inevitably affect the result of trajectory planning. Simulation results with the proposed approaches applied to the part of car's front are further presented to validate effectiveness of the proposed methods.",
keywords = "Genetic Algorithm, Patch Forming, Spray Trajectory Planning, Surface Segmentation",
author = "Zhenzhou Fu and Bing Xiao and Chaofan Wu and Jia Yang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7979209",
language = "英语",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4049--4054",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
}