| Title |
Design and Implementation of a Biped Robot using Neural Network |
| Authors |
Sung-Su Lee ; Wal-Seo Park |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2012.26.10.089 |
| Keywords |
Humanoid ; Multi-articulated robot ; Neural Network ; Real-Time ; Walking |
| Abstract |
This research is to apply the control of neuron networks for the real-time walking control of Multi-articulated robot. Multi-articulated robot is expressed with a complicated mathematical model on account of the mechanic, electric non-linearity which each articulation of mechanism has, and includes an unstable factor in time of walking control. If such a complex expression is included in control operation, it leads to the disadvantage that operation time is lengthened. Thus, if the rapid change of the load or the disturbance is given, it is difficult to fulfill the control of desired performance. This paper proposes a new mode to implement a neural network controller by installing a real object for controlling and an algorithm for this, which can replace the existing method of implementing a neural network controller by utilizing activation function at the output node. The proposed control algorithm generated control signs corresponding to the non-linearity of Multi-articulated robot, which could generate desired motion in real time. |