@inproceedings{e187bd07b3d44181968f7be25b1633d2,
title = "A visual positioning and measurement system for robotic drilling",
abstract = "In order to increase drilling efficiency, it is necessary for robotic drilling system to take advantage of offline programming method to drill a large number of holes automatically. Vision measurement is needed to correct work piece position because of inconformity between actual object and mathematical models. This paper introduces a visual positioning and measurement system for robotic drilling. A calibration board is designed to obtain hand-eye relationship and four laser range sensors are used to measure surface normal. This paper also summarizes workflow of offline programming and correction methods for different parts. Experiments give the result of hand-eye relationship and prove the position accuracy of vision measurement.",
keywords = "Hand-eye calibration, Offline programming, Robotic drilling, Vision system",
author = "Yuanwei Liu and Zhenyun Shi and Peijiang Yuan and Dongdong Chen and Minqing Lin and Zhijun Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th IEEE International Workshop on Advanced Motion Control, AMC 2016 ; Conference date: 22-04-2016 Through 24-04-2016",
year = "2016",
month = jun,
day = "20",
doi = "10.1109/AMC.2016.7496393",
language = "英语",
series = "2016 IEEE 14th International Workshop on Advanced Motion Control, AMC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "461--466",
booktitle = "2016 IEEE 14th International Workshop on Advanced Motion Control, AMC 2016",
address = "美国",
}