Probabilistic fuzzy controller based robotics path decision theory
Abstract
Purpose
This paper aims to comprise the new ideas for the efficient implementation to autonomous mobile robot navigation over the complex environment in presence of static obstacles.
Design/methodology/approach
The fuzzy decision via probability and its distribution is applied for the generating objective function subject to the robotics path and obstacle avoidance. The present objective function is formed to achieve high level of significance for the real-time obstacle avoidance and the efficiency.
Findings
The proposed controller makes a robot take its decision effectively in complex environment in a feasible time. In comparison with other AI approaches the proposed controller reflects that the proposed method outperforms in terms of optimal path and quality of solution. The experimental and simulation results are nearly same.
Originality/value
It has been tested in a complex crowded environment to find shorter path than existed approaches. For the validation, the experimental and simulation result using Matlab Software (R2008) has provided at the end of the paper.
Keywords
Citation
Patle, B.K., Parhi, D.R., Jagadeesh, A. and Kashyap, S.K. (2016), "Probabilistic fuzzy controller based robotics path decision theory", World Journal of Engineering, Vol. 13 No. 2, pp. 181-192. https://doi.org/10.1108/WJE-04-2016-024
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited