An optimal path-generation algorithm for manufacturing of arbitrarily curved surfaces using uncalibrated vision

被引:16
作者
Gonzalez-Galvan, Emilio J.
Loredo-Flores, Ambrocio
Jesus Cervantes-Sanchez, J.
Antonio Aguilera-Cortes, L.
Skaar, Steven B.
机构
[1] Univ Autonoma San Luis Potosi, Fac Ingn, Ctr Invest & Estudios Posgrado, San Luis Potosi 78290, Mexico
[2] Univ Guanajuato, Fac Ingn Mecan Elect & Elect, Salamanca 36730, Gto, Mexico
[3] Univ Notre Dame, Dept Aerosp & Mech Engn, Notre Dame, IN 46556 USA
关键词
path-tracking; path-generation; vision control; camera-space manipulation; geodesic mapping;
D O I
10.1016/j.rcim.2006.06.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Multiple industrial manufacturing tasks require a complex path to be followed precisely over an arbitrary surface which has a geometry that is not known with precision. Examples of such tasks include welding, glue-application, cutting, plasma-spraying, etc., over commercial plates whose geometry cannot be known in advance. Such processes are in general referred to as surface manufacturing. In this work, a path is traced over the surface in an optimal fashion, using the concept of geodesic mapping. By definition, a geodesic line is the shortest line that joins two points over a surface whose algebraic representation is known. Such an optimal solution of a problem, associated with variational calculus, is the approach employed for mapping complex paths, defined in a data base, over a surface of arbitrary geometry. The straight-line segments in which a complex path can be divided are mapped onto an arbitrary surface as geodesic lines. The presented algorithm enables a user to interact with the system in a simple and efficient manner using a commercial computer pointing device. The algorithm was tested experimentally in an industrial maneuver involving arc welding, using an industrial robot and a method of vision-based, robot guidance known as camera-space manipulation. This method has the advantage of not requiring calibration of optical or mechanical components. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:77 / 91
页数:15
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