JRM Vol.3 No.5 pp. 394-400
doi: 10.20965/jrm.1991.p0394


Visual Control of Robotic Manipulator Based on Artificial Neural Network

Hideki Hashimoto*, Takashi Kubota*, Motoo Sato** and Fumio Harashima**

*Institute of Industrial Science, University of Tokyo, 7-22-1, Roppongi, Minato-ku, Tokyo 106, Japan

**Japan Radio Co., Ltd., 5-1-1, Shimorenjaku, Mitaka-shi, Tokyo 181, Japan

August 25, 1991
September 15, 1991
October 20, 1991
Robot manipulator, Visual information, Position and posture ntrol, Neural network.
This paper describes a control scheme for a robotic manipulator system which uses visual information to position and orientate the end-effector. In the scheme the position and the orientation of the target workpiece with respect to the base frame of the robot are assumed to be unknown, but the desired relative position and orientation of the end-effector to the target workpiece are given in advance. The control system directly integrates visual data into the servoing process without subdividing the process into determination of the position, orientation of the workpiece and inverse kinematic calculation. An artificial neural network system is used for determining the change in joint angles required in order to achieve the desired position and orientaion. The proposed system can control the robot so that it approach the desired position and orientaion from arbitary initial ones. Simulation for the robotic manipulator with six degrees of freedom is done. The validity and the effectiveness of the proposed control scheme are varified by computer simulations.
Cite this article as:
H. Hashimoto, T. Kubota, M. Sato, and F. Harashima, “Visual Control of Robotic Manipulator Based on Artificial Neural Network,” J. Robot. Mechatron., Vol.3 No.5, pp. 394-400, 1991.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jul. 19, 2024