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
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;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6146014
