A Novel Intelligent Mobile Robot Navigation Technique for Avoiding Obstacles using RBF Neural Network

被引：0

作者：

Panigrahi, Pratap Kumar ^{[1
]}

Ghosh, Saradindu ^{[2
]}

Parhi, Dayal R. ^{[3
]}

机构：

[1] Padmanava Coll Engn, Dept Elect Engn, Rourkela, India

[2] Natl Inst Technol, Dept Elect Engn, Durgapur, India

[3] Natl Inst Technol, Dept Mech Engn, Rourkela, India

来源：

2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC) | 2014年

关键词：

Path Planning; Collision Avoidance; Target Seeking; Mobile Robot; Autonomous Navigation; RBF Network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a path planning and intelligent control of mobile robot in unknown environment with static/dynamic obstacles and fixed target. A radial basis function (RBF) network approach is proposed in this work for obtaining optimized path to reach the goal without collision. The competency of the proposed approach is verified by means of simulation results using MATLAB where robot moves in a variety of environments with obstacles of different shapes and sizes.

引用

页码：1 / 6

页数：6

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