@article{(Open Science Index):https://publications.waset.org/pdf/2713, title = {Fuzzy-Genetic Optimal Control for Four Degreeof Freedom Robotic Arm Movement}, author = {V. K. Banga and R. Kumar and Y. Singh}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Mechanical and Materials Engineering}, volume = {3}, number = {12}, year = {2009}, pages = {1537 - 1540}, ee = {https://publications.waset.org/pdf/2713}, url = {https://publications.waset.org/vol/36}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 36, 2009}, }