A novel intelligent mobile robot navigation technique for avoiding obstacles using RBF neural network

Author

Panigrahi, Pratap Kumar ; Ghosh, Sudip ; Parhi, Dayal R.

Author_Institution

Dept. of Electr. Eng., Padmanava Coll. of Eng., Rourkela, India

fYear

2014

fDate

Jan. 31 2014-Feb. 2 2014

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

collision avoidance; mobile robots; neurocontrollers; optimisation; radial basis function networks; MATLAB; RBF neural network; dynamic obstacles; fixed target; intelligent control; intelligent mobile robot navigation technique; obstacles avoidance; optimized path; path planning; radial basis function network; static obstacles; unknown environment; Collision avoidance; Mobile robots; Navigation; Neurons; Radial basis function networks; Training; Autonomous Navigation; Collision Avoidance; Mobile Robot; Path Planning; RBF Network; Target Seeking;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on

Conference_Location

Calcutta

Type

conf

DOI

10.1109/CIEC.2014.6959038

Filename

6959038