Complex-valued neural network for group-movement control of mobile robots
Kyouhei Kawashima, Takehiko Ogawa · 2012
Mobile robots to autonomously determine the behavior based on the multiple sensor-data has been studied and developed. Also, the group-movement of multiple objects has been studied in the field of computer graphics. On the other hand, neural networks are often used as a method for data fusion from multiple sensors. Recently, the complex-valued neural networks that are extended to the complex region have been studied in the field of neural networks. In this study, we propose the complex-valued neural network model to realize the group-movement of mobile robots with multiple sensors.