TY - GEN
T1 - Principal component analysis for 3D-manipulator robot control system
AU - Hamadache, Moussa
AU - Kim, Jaehoon
AU - Lee, Dongik
PY - 2012
Y1 - 2012
N2 - In this paper, a shape recognition technique for a 3-DOF manipulator robot control system is proposed. This work is devised into three parts. First, the shapes were recognized under the Principal Component Analysis (PCA) algorithm and the shape's characteristics (position and orientation) were extracted and stored in the PCA-bases. Second, based on the Graphical User Interface (GUI) tool, a simulation on 3D-space of the 3-DOF manipulator robot was performed. Finally, the PCA-bases were applied as a command-signal to the 3-DOF manipulator robot control system. Several shapes were considered and tested to verify the method.
AB - In this paper, a shape recognition technique for a 3-DOF manipulator robot control system is proposed. This work is devised into three parts. First, the shapes were recognized under the Principal Component Analysis (PCA) algorithm and the shape's characteristics (position and orientation) were extracted and stored in the PCA-bases. Second, based on the Graphical User Interface (GUI) tool, a simulation on 3D-space of the 3-DOF manipulator robot was performed. Finally, the PCA-bases were applied as a command-signal to the 3-DOF manipulator robot control system. Several shapes were considered and tested to verify the method.
UR - http://www.scopus.com/inward/record.url?scp=84861484571&partnerID=8YFLogxK
U2 - 10.1109/MELCON.2012.6196457
DO - 10.1109/MELCON.2012.6196457
M3 - Conference contribution
AN - SCOPUS:84861484571
SN - 9781467307826
T3 - Proceedings of the Mediterranean Electrotechnical Conference - MELECON
SP - 395
EP - 398
BT - 2012 16th IEEE Mediterranean Electrotechnical Conference, MELECON 2012
T2 - 2012 16th IEEE Mediterranean Electrotechnical Conference, MELECON 2012
Y2 - 25 March 2012 through 28 March 2012
ER -