Use of Artificial Neural Networks for the Development of an Inverse Kinematic Solution and Visual Identification of Singularity Zone(s)
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference12 articles.
1. Robot Safety Standard ANSI/RIA R15.06-1999. Risk Assessment and Methodology and Specific Guidelines for Safeguarding Robotic Systems. http://www.welding-robots.com/articles.php?tag=452.
2. Hasan AT, Ismail N, Hamouda AMS, Sris I, Marhaban MH, Al-Assadi HMAA. Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations. Adv in Engg Soft 2010;41:359-367.
3. Kozakiewicz C, Ogiso T, Miyake N. Partitioned Neural Network architecture for Inverse Kinematic calculation of a 6 dof robot manipulator. IEEE Int Joint Conf Neural Networks 1991;3:2001-2006.
4. Lou YF, Brunn P. A hybrid artificial neural network inverse kinematic solution for accurate robot path control. Journal of Sys and Cont Engg 1999;213:23-32.
5. Ahmad Z, Guez A. On the Solution to Inverse Kinematic Problem. IEEE Int Conf on Rob and Auto 1990;3:1692-1697.
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