Self-organizing Neural Networks for Simultaneous Localization and Mapping of Indoor Mobile Robots

摘要：

Since the complexity and variety of indoor environments,the ability of simultaneous localization and mapping for autonomous mobile robots restricted their applications.A novel approach,which is based on clustering algorithm,fuzzy logic and neural networks,is proposed,and solve simultaneous mapping and localization problem.It adopt s self-organizing fuzzy neural networks to model the environment and to implement localization.The neural map can be built online automatically.Meanwhile,the neural network exports robot’s pose information.

作者: Xuefeng Dai Bing Hao Lin Shao

作者单位: Computer and Control Engineering Institute Qiqihar University Qiqihar,Heilongjiang 161006,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）