%0 Journal Article
	%A V. K. Banga and  R. Kumar and  Y. Singh
	%D 2009
	%J International Journal of Mechanical and Materials Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 36, 2009
	%T Fuzzy-Genetic Optimal Control for Four Degreeof Freedom Robotic Arm Movement
	%U https://publications.waset.org/pdf/2713
	%V 36
	%X In this paper, we present optimal control for
movement and trajectory planning for four degrees-of-freedom robot
using Fuzzy Logic (FL) and Genetic Algorithms (GAs). We have
evaluated using Fuzzy Logic (FL) and Genetic Algorithms (GAs)
for four degree-of-freedom (4 DOF) robotics arm, Uncertainties like;
Movement, Friction and Settling Time in robotic arm movement
have been compensated using Fuzzy logic and Genetic Algorithms.
The development of a fuzzy genetic optimization algorithm is
presented and discussed. The result are compared only GA and
Fuzzy GA. This paper describes genetic algorithms, which is
designed to optimize robot movement and trajectory. Though the
model represents is a general model for redundant structures and
could represent any n-link structures. The result is a complete
trajectory planning with Fuzzy logic and Genetic algorithms
demonstrating the flexibility of this technique of artificial
intelligence.
	%P 1537 - 1540