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Part shape information acquisition based on stereoscopic vision
Gu JN(顾寄南); Chen SJ(陈四杰); Shen, BaoGuo
作者部门机器人学研究室
会议名称3rd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2013
会议日期September 21-23, 2013
会议地点Chongqing, China
会议主办者National Natural Science Foundation of China (NSFC); Provincial Natural Science Foundation of Hunan; Provincial Science and Technology plan project of Hunan
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications Ltd,
出版地Zurich-Durnten, Switzerland
2013
页码472-475
收录类别EI
EI收录号20134616980584
产权排序1
ISSN号1660-9336
ISBN号978-3-03785-901-8
关键词Computer Aided Design Computer Simulation Computer Vision Edge Detection
摘要A clamping robot serving for several NC machines can recognize the best fit in manny blank parts. Forthermore, the shape information acquisition and pose measurment can be achieved by its computer vision system. The key question is that the clamping robot automatively choices the best fit part by statistical result of geometric dimension of all parts. The best fit part is the one that its length and its diameter are mostly proximate to the processing requirement. This choice method can save staff, reduce working allowance, and lessen finished cost. According to the shape information and position information, the robot can confirm the grab order, grab angle and finger joint distance. Firstly, the part image is smoothing by noise reduction technology, secondly, the feature points are extracted. The feature points present the information of the location of the mass center, the dip angle and diameter. Finally, the clamping robot can grab the most fit bar part by means of rotational motion, rectilinear motion, and finger open-close movement when the shape information and location information of the bar part have been confirmed. © (2014) Trans Tech Publications, Switzerland.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13922
专题机器人学研究室
推荐引用方式
GB/T 7714
Gu JN,Chen SJ,Shen, BaoGuo. Part shape information acquisition based on stereoscopic vision[C]//National Natural Science Foundation of China (NSFC); Provincial Natural Science Foundation of Hunan; Provincial Science and Technology plan project of Hunan. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,,2013:472-475.
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