模糊神经网络在机器人路径规划中的应用

N. Mirza
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引用次数: 2

摘要

本文主要讨论了模糊神经网络在动态和静态环境下实现移动机器人功能鲁棒的不同方法。算法融合对于提高所提供系统的工作效率非常重要。本文以不同类型的移动机器人以及不同的算法框架为例进行了研究。由于典型的用于机器人在真实环境中移动的数学模型不能满足机器人系统内存的限制,因此不是很有用。因此,机器人研究团体正在讨论和实施新的方法。
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Application of Fuzzy Neural Networks in Robotic Path Planning
This paper essentially discusses different methodologies of Fuzzy Neural Networks which are implemented to robust the functionality of mobile robots in dynamic and static environment. Fusion of algorithms is important to increase the working of any system provided. Different kind of mobile robots along with various algorithms frameworks are taken as case studies for this paper. Due to the reason that typical mathematical models used to make robots mobile in real environment were not very useful as they were not catering for the limitation of robotic system memory. Thus new methodologies are being discussed and implemented by robotics research community.
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