DocumentCode
3244671
Title
Feature point recognition for the direct teaching data in industrial robot
Author
Choi, Taeyong ; Park, ChanHun ; Kyung, Jinho
Author_Institution
Robot. & Mechatron. Res. Center, Korea Inst. of Machinery & Mater., Daejeon, South Korea
fYear
2011
fDate
23-26 Nov. 2011
Firstpage
780
Lastpage
781
Abstract
Direct teaching in the industrial robot are the novel technique to teach manipulator with easy usage. However, teaching data by human hand cannot help having large noise error ranged low and high frequency. To use teaching data, post processing to correct teaching trajectory are required. Here, the intuitive feature point recognition method to rebuild teaching data with curvature information is proposed.
Keywords
industrial manipulators; learning (artificial intelligence); curvature information; direct teaching data; feature point recognition; human hand; industrial robot; manipulator; noise error; teaching trajectory; Education; Humans; Kernel; Manipulators; Service robots; Trajectory; direct teaching; feature point recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location
Incheon
Print_ISBN
978-1-4577-0722-3
Type
conf
DOI
10.1109/URAI.2011.6146014
Filename
6146014
Link To Document