Title :
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
fDate :
Jan. 31 2014-Feb. 2 2014
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;
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
DOI :
10.1109/CIEC.2014.6959038
