JRM Vol.2 No.4 pp. 303-307
doi: 10.20965/jrm.1990.p0303


Automatic Operation of a Mobile Robot Using an RCE Network

Hisato Kobayashi and Katsuhiko Inagaki

Dept. of Electrical Engineering, College of Engineering, Hosei University, 3-7-2, Kajino-cho, Koganei-shi, Tokyo 184, Japan

August 20, 1990
RCE network, mobile robot, super sphere and super cube
This article describes an example using a neural net as a method of mobile robot operation. The method eliminates the need for characteristic equations of a mobile robot, but requires an exercise to some extent using adequate "patterns." For accumulating experience of this practice, an RCE (restricted coulomb energy) network, or a pattern recognition-use neural network, is used. A simulation is conducted by driving a car into a garage. A man drives a car into a garage to create pattern data, which an RCE net is made to learn. After learning to some extent, it is allowed to put a car into a garage from an arbitrary initial point. The following are the descriptions of the results.
Cite this article as:
H. Kobayashi and K. Inagaki, “Automatic Operation of a Mobile Robot Using an RCE Network,” J. Robot. Mechatron., Vol.2 No.4, pp. 303-307, 1990.
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. 23, 2024