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@article{(International Science Index):http://waset.org/publications/2713,
  title    = {Fuzzy-Genetic Optimal Control for Four Degreeof Freedom Robotic Arm Movement},
  author    = {V. K. Banga and  R. Kumar and  Y. Singh},
  country   = {India},
  institution={Amritsar College of Engineering and Technology, IKG Punjab Technical University Kapurthala},
  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
    journal   = {International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering},  volume    = {3},
  number    = {12},
  year      = {2009},
  pages     = {1537 - 1540},
  ee        = {http://waset.org/publications/2713},
  url       = {http://waset.org/Publications?p=36},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 36, 2009},