Development of Internal Models for Communication of A Partner Robot based on Computational Intelligence
Development of Internal Models for Communication of A Partner Robot based on Computational Intelligence
复制标题
基于计算智能的伙伴机器人通信内部模型的开发
DOI：
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复制
发表时间：
2005
期刊：
影响因子：
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通讯作者：
Kenichiro Nishida
中科院分区：
文献类型：
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作者：
N. Kubota;Kenichiro Nishida
本文讨论了基于计算智能的伙伴机器人与人类通信的内部模型的发展。作为伙伴机器人的移动的机器人必须与人类进行通信，并通过面对的环境做出决策。因此，机器人必须通过机器人自身感知和理解环境。在本文中，我们提出了一种学习方法，使用多值函数的地方和情感。我们还提出了基于模糊脉冲神经网络和稳态遗传算法的交互方法。此外，我们展示了基于建议方法的伙伴机器人的实验结果。
This paper discusses development of internal models of a partner robot for communication with a human based on computational intelligence. The mobile robot used as a partner robot must communicate with a human and make decisions through the facing environment. Therefore, the robot must perceive and understand the environment by the robot itself. In this paper, we propose a learning method using the multiple value functions of place and emotion. We also propose the method of interaction based on a fuzzy spiking neural network and a steady-state genetic algorithm. Furthermore, we show experimental results of the partner robot based on proposal method.