Complex-valued neural network for group-movement control of mobile robots
Complex-valued neural network for group-movement control of mobile robots
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发表时间：
2012-10
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通讯作者：
K. Kawashima;T. Ogawa
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作者：
K. Kawashima;T. Ogawa
研究和开发了基于多传感器数据的移动机器人自主判断行为的方法。此外，在计算机图形学领域也对多目标的群运动进行了研究。另一方面，神经网络常被用作多传感器数据融合的一种方法。近年来，神经网络领域对扩展到复杂区域的复值神经网络进行了研究。在本研究中，我们提出了复值神经网络模型来实现多传感器移动机器人的群体运动。
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.