Title :
A Solution of Inverse Kinematics of Robot Arm Using Network Inversion
Author :
Ogawa, Takehiko ; Matsuura, Hiromichi ; Kanada, Hajime
Author_Institution :
Dept. of Electron. & Comput. Syst., Takushoku Univ., Tokyo
Abstract :
The network inversion solves inverse problems using a multilayer neural network. The inverse kinematics to estimate the joint angles of the robot arm from the end effector´s coordinate is an inverse problem. In this study, the network inversion is applied to the inverse kinematics that estimates joint angles of robot arm. The inverse problems are often difficult to solve because of the ill-posedness. The regularization method is necessary to solve the ill-posed inverse problem. In this study, the regularization method is examined to solve the ill-posedness
Keywords :
inverse problems; multilayer perceptrons; robot kinematics; inverse kinematics solution; inverse problem; joint angle estimation; multilayer neural network; network inversion; regularization method; robot arm; Automation; Computational intelligence; Computational modeling; Computer networks; End effectors; Intelligent agent; Inverse problems; Multi-layer neural network; Neural networks; Robot kinematics;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631372